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Strategic Enterprise Account Executive - CMEG
SLSQ327R698 [While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Candidates in the listed location(s) are encouraged for this role - Remote - San Francisco As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specifically in the CMEG space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: - Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. - Drive value-based growth within the account. - Expand the Databricks footprint into new business units and use cases. - Exceed activity, pipeline, and revenue targets. - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. - Use a solution-based approach to selling and creating value for customers. - Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake - Prioritize opportunities and leverage appropriate resources. - Build a plan for success internally at Databricks and externally with your account What we look for: - You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight - Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion - Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts - The ability to simplify a technical capability into a value-based benefit - 7+ years of Enterprise Sales experience exceeding quotas in larger accounts - Managing a small set of enterprise accounts rather than a broad territory - Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000 - $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic DNB Hunter Account Executive (China)
SLSQ327R457 As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China. This position will be based in Singapore. The impact you will have: - Prospect for new customers - Assess your existing customers and develop a strategy to identify and engage all buying centers - Use a solution approach to selling and creating value for customers - Identify the most viable use cases in each account to maximize Databricks' impact - Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory - Build value with all engagements to promote successful negotiations and close - Promote the Databricks enterprise cloud data platform - Be customer-focused by delivering technical and business results using the Databricks Platform What we look for: - Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology - Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) - Ability to simply articulate intricate cloud & big data technologies and their business value for the customer - Proven success and upward trajectory in whatever you have done - Bachelors Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic DNB Hunter Account Executive (China)
SLSQ327R457 As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China. The impact you will have: - Prospect for new customers - Assess your existing customers and develop a strategy to identify and engage all buying centers - Use a solution approach to selling and creating value for customers - Identify the most viable use cases in each account to maximize Databricks' impact - Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory - Build value with all engagements to promote successful negotiations and close - Promote the Databricks enterprise cloud data platform - Be customer-focused by delivering technical and business results using the Databricks Platform What we look for: - Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology - Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) - Ability to simply articulate intricate cloud & big data technologies and their business value for the customer - Proven success and upward trajectory in whatever you have done - Bachelors Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Customer Advisor, APJ
SLSQ227R448 Databricks is assembling a small group of elite sales leaders to engage in our most complex, high-stakes customer opportunities. This role is built for individuals who have operated at the highest levels, leading transformation rather than just transactions. You will be deployed into Databricks' most critical accounts in APJ region and opportunities where executive alignment is fragile, deal velocity has stalled, or the path forward requires sharper thinking and stronger leadership. You will spend the majority of your time in the field with customers and account teams, with equal responsibility to elevate how we sell internally. This is a 50/50 role: - Externally: Shaping customer vision, guiding executives, and driving deal outcomes. - Internally: Advising, coaching, and raising the standard of the field. The primary objective is to make the existing account team better, faster, and more effective, not to override their efforts. The impact you will have: - Own the Hardest Moments – Step into late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve. - Operate at the Executive Layer – Engage CIOs, CDOs, and business leaders with a strong, credible point of view (POV) on data, AI, and platform transformation. - Drive Deal Velocity – Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles. - Lead Through Influence – Earn trust quickly across both customers and internal teams; know when to push, when to align, and how to create movement. - Elevate the Field – Coach Account Executives (AEs) and field leaders in real time, improving deal strategy, qualification, and execution standards. - Scale What Works – Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums. - Expand Enterprise Footprint – Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations. What we look for: - Background in Data & AI organizations in highly strategic sales roles. - 10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000). - Experience leading large, complex, multi-year, multi-stakeholder deals. - Executive presence with the ability to quickly establish credibility at the C-level. - A strong, defensible POV on data platforms, AI, and enterprise transformation. - Demonstrated ability to influence without authority across account teams, leadership, and partners. - Experience coaching and elevating high-performing sales teams in live deal environments. - Comfort operating across industries, ambiguity, and high expectations. - High ownership, high standards, and low ego. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Customer Advisor
SLSQ227R447 Location is Remote - AMER - willingness and able to travel Databricks is assembling a small group of elite sales leaders to engage in our most complex, high-stakes customer opportunities. This role is built for individuals who have operated at the highest levels, leading transformation rather than just transactions. You will be deployed into Databricks' most critical accounts and opportunities where executive alignment is fragile, deal velocity has stalled, or the path forward requires sharper thinking and stronger leadership. You will spend the majority of your time in the field with customers and account teams, with equal responsibility to elevate how we sell internally. This is a 50/50 role: - Externally: Shaping customer vision, guiding executives, and driving deal outcomes. - Internally: Advising, coaching, and raising the standard of the field. The primary objective is to make the existing account team better, faster, and more effective, not to override their efforts. The impact you will have: - Own the Hardest Moments – Step into late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve. - Operate at the Executive Layer – Engage CIOs, CDOs, and business leaders with a strong, credible point of view (POV) on data, AI, and platform transformation. - Drive Deal Velocity – Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles. - Lead Through Influence – Earn trust quickly across both customers and internal teams; know when to push, when to align, and how to create movement. - Elevate the Field – Coach Account Executives (AEs) and field leaders in real time, improving deal strategy, qualification, and execution standards. - Scale What Works – Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums. - Expand Enterprise Footprint – Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations. What we look for: - Background in Data & AI organizations in highly strategic sales roles. - 10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000). - Experience leading large, complex, multi-year, multi-stakeholder deals. - Executive presence with the ability to quickly establish credibility at the C-level. - A strong, defensible POV on data platforms, AI, and enterprise transformation. - Demonstrated ability to influence without authority across account teams, leadership, and partners. - Experience coaching and elevating high-performing sales teams in live deal environments. - Comfort operating across industries, ambiguity, and high expectations. - High ownership, high standards, and low ego. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000 - $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - Retail
SLSQ127R678 - Highly preferred location - Remote - Cincinnati While candidates in Cincinnati are highly encouraged for this role, candidates in Columbus, OH , Chicago, IL and Indianapolis, IN will also be considered. As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Retail team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the Retail vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client. The impact you will have: - Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. - Drive value-based growth within the account. - Expand the Databricks footprint into new business units and use cases. - Exceed activity, pipeline, and revenue targets. - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. - Use a solution-based approach to selling and creating value for customers. - Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake - Prioritize opportunities and leverage appropriate resources. - Build a plan for success internally at Databricks and externally with your account What we look for: - You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight - Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion - Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts - The ability to simplify a technical capability into a value-based benefit - 7+ years of Enterprise Sales experience exceeding quotas in larger accounts - Managing a small set of enterprise accounts rather than a broad territory - Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $311,600 - $428,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive, Monterrey
SLSQ426R335 This role requires being based in Monterrey ; applicants in other locations will not be considered. The interview process will involve both English and Spanish conversations; business-level fluency in English is required. Resumen de posición: Como ejecutivo de cuentas empresariales en Databricks, te apasiona vender a organizaciones de servicios financieros de alto crecimiento. Sabes cómo reducir los ciclos de decisión penetrando rápidamente en las cuentas y demostrando el valor para el cliente. Te encanta comprender un producto en profundidad y te apasiona comunicar su valor a los clientes. Administrarás cuentas designadas y serás responsable de expandir el consumo dentro del negocio existente. Además de la oportunidad de cerrar negocios interesantes, también ofrecemos aceleradores por encima del 100 % del cumplimiento de cuota. El impacto que tendrás: - Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras. - Comunicarás periódicamente la estrategia de la cuenta a la alta dirección de Databricks. - Asignarás recursos de Databricks para aumentar el consumo de las cuentas existentes. - Te reunirás con ejecutivos del cuerpo directivo para comprender cómo Databricks puede impactar en los resultados comerciales. - Superarás consistentemente todos los objetivos de actividad, cartera de clientes e ingresos. - Utilizarás un enfoque creativo y de rápida resolución de problemas para vender y crear valor para los clientes. - Desarrollarás un plan para alcanzar el éxito internamente en Databricks y externamente en tu área. Lo que buscamos: - Hablante nativo de español; fluidez a nivel empresarial en inglés. Los conocimientos de portugués son favorables, aunque no obligatorios. - Pasión por vender un producto altamente técnico en la nube. - Más de 5 años de experiencia con tecnologías de código abierto y ventas basadas en el valor. - Un vendedor creativo con un movimiento de identificación y gestión de clientes potenciales bien definido, y un historial comprobado de influir efectivamente en la toma de decisiones entre desarrollar o comprar. - Experiencia en ventas en datos, IA, nube o SaaS. - Experiencia comprobada superando constantemente las cuotas de ventas, idealmente orientada a impulsar el consumo incremental. - Éxito en el cierre de nuevas cuentas mientras trabajas en cuentas existentes. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive, Mexico City
SLSQ426R335 This role requires being based in Mexico City ; applicants in other locations will not be considered. The interview process will involve both English and Spanish conversations; business-level fluency in English is required. Resumen de posición: Como ejecutivo de cuentas empresariales en Databricks, te apasiona vender a organizaciones de servicios financieros de alto crecimiento. Sabes cómo reducir los ciclos de decisión penetrando rápidamente en las cuentas y demostrando el valor para el cliente. Te encanta comprender un producto en profundidad y te apasiona comunicar su valor a los clientes. Administrarás cuentas designadas y serás responsable de expandir el consumo dentro del negocio existente. Además de la oportunidad de cerrar negocios interesantes, también ofrecemos aceleradores por encima del 100 % del cumplimiento de cuota. El impacto que tendrás: - Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras. - Comunicarás periódicamente la estrategia de la cuenta a la alta dirección de Databricks. - Asignarás recursos de Databricks para aumentar el consumo de las cuentas existentes. - Te reunirás con ejecutivos del cuerpo directivo para comprender cómo Databricks puede impactar en los resultados comerciales. - Superarás consistentemente todos los objetivos de actividad, cartera de clientes e ingresos. - Utilizarás un enfoque creativo y de rápida resolución de problemas para vender y crear valor para los clientes. - Desarrollarás un plan para alcanzar el éxito internamente en Databricks y externamente en tu área. Lo que buscamos: - Hablante nativo de español; fluidez a nivel empresarial en inglés. Los conocimientos de portugués son favorables, aunque no obligatorios. - Pasión por vender un producto altamente técnico en la nube. - Más de 5 años de experiencia con tecnologías de código abierto y ventas basadas en el valor. - Un vendedor creativo con un movimiento de identificación y gestión de clientes potenciales bien definido, y un historial comprobado de influir efectivamente en la toma de decisiones entre desarrollar o comprar. - Experiencia en ventas en datos, IA, nube o SaaS. - Experiencia comprobada superando constantemente las cuotas de ventas, idealmente orientada a impulsar el consumo incremental. - Éxito en el cierre de nuevas cuentas mientras trabajas en cuentas existentes. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - Insurance, m/f/...
SLSQ427149 Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first‑mover advantage in today’s ultra‑competitive landscape. As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the insurance vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within one of Germany’s largest Reinsurers, based in Munich. You will be part of an account team supporting this highly strategic client. Leveraging your consultative sales experience in the Insurance/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes. The impact you will have: - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will take ownership of your flagship account, define a clear strategy, and relentlessly drive it to exceed revenue and consumption goals. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will turn that strategy into action, executing with urgency and discipline to consistently overachieve your targets. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including C‑level. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will uncover and shape new business, expanding use cases and driving deeper platform consumption across your account. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will orchestrate the full Databricks ecosystem, mobilising internal teams to maximise impact and customer value. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will demonstrate compelling value in every engagement, leading confident, insight‑led negotiations that take opportunities all the way to close. What we look for - A proven record of exceeding revenue targets in complex enterprise sales environments. - Recognised insurance domain expertise, applied to expanding strategic Insurance/FSI accounts in Germany through deep understanding of regulatory, risk, and compliance dynamics. - Proven success selling data, analytics, big data, AI, or other highly technical cloud software solutions through complex, multi-stakeholder, multi-year enterprise sales cycles - The ability to identify high-impact data and AI use cases and engage key buying centres to expand Databricks’ footprint and strategic relevance within an organisation. - Strong understanding of consumption-based, land-and-expand models, with the ability to drive sustained growth within a single strategic account. - Demonstrated ability to create and shape demand, translating customer priorities into measurable business value. - Disciplined use of sales methodologies such as MEDDPICC, account planning, Value Selling, or Command of the Message, combined with strong pipeline management and accurate forecasting. - A track record of building executive-level champions and cross-functional account teams to execute against a defined account and territory strategy. - Experience developing and executing partner strategies that extend reach, accelerate deal velocity, and support complex enterprise opportunities. - Willing and able to travel to customer sites, company and industry events - regionally and internationally - Fluent in German and English, with the credibility to engage, challenge, and influence senior stakeholders up to C-level. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - Financial Servi...
SLSQ227R476 As a Strategic Enterprise Account Executive - Financial Services at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. Having experience working with Financial Services accounts is preferred. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to drive consumption. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. The impact you will have: - Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners - Close both new accounts and existing accounts - Identify and close quick, small wins while managing longer, complex sales cycles - Exceed activity, pipeline, and revenue targets - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce - Use a solution-based approach to selling and creating value for customers - Promote Databricks' enterprise cloud data platform powered by Apache Spark™ - Ensure 100% satisfaction among all customers - Prioritize opportunities and applying appropriate resources - Build a plan for success internally at Databricks and externally with your accounts What we look for: - You have previously worked in an early stage company and you know how to navigate and be successful - Field sales experience within big data, Cloud, or SaaS sales - FINS Experience - Prior customer relationships with CIOs, program managers, and essential decision makers - Simply articulate intricate cloud technologies - 7+ years experience exceeding sales quotas - Understanding of Spark and big data preferable - Passion for cloud technologies - Bachelor's Degree About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - Digital Native
SLSQ227R737 Strategic Global Account Executive - Digital Native Databricks is seeking a Strategic Global Account Executive, specialising in the digital native Industry to join our team in Sydney/Melbourne, Australia.This is a critical "Strategic Core" role focused on driving significant company growth. This is a critical "Strategic Core" role focused on driving significant company growth. As a Core representative, you will be instrumental in expanding our presence with one of our key, largest existing customers. You will report directly to the Director of Enterprise Sales. The Impact You Will Have: - Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage. - Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery - Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target leads. - Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in territory to displace incumbent technologies. - Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create territory and account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline. - Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal. - Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success. What We Look For: - Characteristics: - Takes initiative, is proactive and drives. - Unwavering Prioritisation & Grit. - Detail-oriented. - Creative - Coachability - Open to Change and uncertainty - Ambiguity: Proven ability to navigate complex and ambiguous customers and situations. - Experience: Proven track record in sales in the digital native industry is preferred. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world. - Skills: Strong prospecting, lead generation, and customer engagement skills. Ability to drive consumption and secure customer commitment. - Collaboration: Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams. - Technical Acumen: Understanding of Databricks' platform and the ability to communicate its value to customers. - Impact: Ability to generate blast radius impact from planned activities. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - Digital Native
SLSQ227R737 Strategic Global Account Executive - Digital Native Databricks is seeking a Strategic Global Account Executive, specialising in the digital native Industry to join our team in Sydney/Melbourne, Australia.This is a critical "Strategic Core" role focused on driving significant company growth. This is a critical "Strategic Core" role focused on driving significant company growth. As a Core representative, you will be instrumental in expanding our presence with one of our key, largest existing customers. You will report directly to the Director of Enterprise Sales. The Impact You Will Have: - Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage. - Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery - Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target leads. - Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in territory to displace incumbent technologies. - Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create territory and account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline. - Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal. - Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success. What We Look For: - Characteristics: - Takes initiative, is proactive and drives. - Unwavering Prioritisation & Grit. - Detail-oriented. - Creative - Coachability - Open to Change and uncertainty - Ambiguity: Proven ability to navigate complex and ambiguous customers and situations. - Experience: Proven track record in sales in the digital native industry is preferred. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world. - Skills: Strong prospecting, lead generation, and customer engagement skills. Ability to drive consumption and secure customer commitment. - Collaboration: Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams. - Technical Acumen: Understanding of Databricks' platform and the ability to communicate its value to customers. - Impact: Ability to generate blast radius impact from planned activities. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - CPG
SLSQ227R693 - Highly preferred location - Remote - Virginia - While candidates in Virginia are highly encouraged candidates in the surrounding locations will also be considered: As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the CPG team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the CPG vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client. The impact you will have: - Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. - Drive value-based growth within the account. - Expand the Databricks footprint into new business units and use cases. - Exceed activity, pipeline, and revenue targets. - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. - Use a solution-based approach to selling and creating value for customers. - Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake - Prioritize opportunities and leverage appropriate resources. - Build a plan for success internally at Databricks and externally with your account What we look for: - You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight - Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion - Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts - The ability to simplify a technical capability into a value-based benefit - 7+ years of Enterprise Sales experience exceeding quotas in larger accounts - Managing a small set of enterprise accounts rather than a broad territory - Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $311,600 - $428,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - CMEG - Telco
SLSQ227R345 Candidates in the listed location(s) are encouraged for this role - Remote - Dallas - Remote-Atlanta As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specificlaly in the TELCO space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs). You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: - Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. - Drive value-based growth within the account. - Expand the Databricks footprint into new business units and use cases. - Exceed activity, pipeline, and revenue targets. - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. - Use a solution-based approach to selling and creating value for customers. - Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake - Prioritize opportunities and leverage appropriate resources. - Build a plan for success internally at Databricks and externally with your account What we look for: - You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight - Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion - Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts - The ability to simplify a technical capability into a value-based benefit - 7+ years of Enterprise Sales experience exceeding quotas in larger accounts - Managing a small set of enterprise accounts rather than a broad territory - Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000 - $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - Banking, m/f/d
SLSQ427R134 Although a specific location may be posted, candidates can be based anywhere in Germany. Databricks operates at the leading edge of the unified data, analytics, and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain a first‑mover advantage in today’s ultra‑competitive landscape. As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the FSI vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within Germany’s largest savings bank, and one of Europes largest Insurance groups with HQ in Hannover. You will be the Strategic Account lead, working with a dedicated account team supporting these highly key clients. Leveraging your consultative sales experience in the Banking/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes. The impact you will have: - Ownership: Take full responsibility for your flagship accounts, defining a clear strategy and relentlessly driving it to exceed revenue and consumption goals. - Execution: Turn strategy into action, executing with urgency and discipline to consistently overachieve targets. - Advisory: Build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including the C‑level. - Expansion: Uncover and shape new business, expanding use cases and driving deeper platform consumption across your accounts. - Orchestration: Lead the full Databricks ecosystem, mobilizing internal cross-functional teams to maximize impact and customer value. - Negotiation: Demonstrate compelling value in every engagement, leading confident, insight‑led negotiations from discovery to close. What we look for: - Proven Track Record: A documented history of exceeding revenue targets in complex, large-scale enterprise sales environments. - Domain Expertise: Recognised Banking/FSI domain expertise, with a deep understanding of the German regulatory, risk, and compliance landscape. - Technical Sales Depth: Proven success selling data, analytics, big data, AI, or highly technical cloud software through multi-stakeholder, multi-year enterprise cycles. - Strategic Vision: Ability to identify high-impact AI use cases and engage key buying centers to expand the Databricks footprint and strategic relevance. - Consumption Model Mastery: Strong understanding of consumption-based, "land-and-expand" models to drive sustained growth within strategic accounts. - Value-Led Selling: Demonstrated ability to create and shape demand by translating customer priorities into measurable business value. - Methodological Rigor: Disciplined use of sales methodologies (e.g., MEDDPICC, Value Selling, or Command of the Message) combined with accurate forecasting. - Leadership: Experience building executive-level champions and leading cross-functional teams to execute against a defined account strategy. - Partner Ecosystem: Experience executing partner strategies that extend reach and accelerate deal velocity within complex opportunities. - Mobility: Willingness to travel to customer sites and industry events, both regionally and internationally. - Communication: Fluency in German and English is essential, with the credibility to challenge and influence senior C-level stakeholders. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive - Automotive/OEM
SLSQ427R367 Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first‑mover advantage in today’s ultra‑competitive landscape. As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the automotive/OEM vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within one of Germany’s largest automotive/OEM company. You will be part of an account team supporting this highly strategic client. Leveraging your consultative sales experience in the automotive/OEM vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes. The impact you will have: - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will take ownership of your flagship account, define a clear strategy, and relentlessly drive it to exceed revenue and consumption goals. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will turn that strategy into action, executing with urgency and discipline to consistently overachieve your targets. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including C‑level. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will uncover and shape new business, expanding use cases and driving deeper platform consumption across your account. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will orchestrate the full Databricks ecosystem, mobilising internal teams to maximise impact and customer value. - p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will demonstrate compelling value in every engagement, leading confident, insight‑led negotiations that take opportunities all the way to close. What we look for - A proven record of exceeding revenue targets in complex enterprise sales environments. - Recognised automotive domain expertise, applied to expanding strategic automotive/OEM accounts in Germany. - Proven success selling data, analytics, big data, AI, or other highly technical cloud software solutions through complex, multi-stakeholder, multi-year enterprise sales cycles - The ability to identify high-impact data and AI use cases and engage key buying centres to expand Databricks’ footprint and strategic relevance within an organisation. - Strong understanding of consumption-based, land-and-expand models, with the ability to drive sustained growth within a single strategic account. - Demonstrated ability to create and shape demand, translating customer priorities into measurable business value. - Disciplined use of sales methodologies such as MEDDPICC, account planning, Value Selling, or Command of the Message, combined with strong pipeline management and accurate forecasting. - A track record of building executive-level champions and cross-functional account teams to execute against a defined account and territory strategy. - Experience developing and executing partner strategies that extend reach, accelerate deal velocity, and support complex enterprise opportunities. - Willing and able to travel to customer sites, company and industry events - regionally and internationally - Fluent in German and English, with the credibility to engage, challenge, and influence senior stakeholders up to C-level. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Core Account Executive
SLSQ427R336 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Strategic Enterprise Account Executive to join the team in France to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will report to the Director, Enterprise Sales, France. The impact you will have: - You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals - You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform - You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement - You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: - Extensive experience selling complex solutions to Enterprise Customers - You will have experience managing and leading complex, federated sales campaigns in major accounts - You will have experience working in Data, Cloud industries with some technical sales experience - Proof of exceeding sales quotas in high-growth Enterprise software companies - You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams - You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) - Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan - Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation - Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting - Bachelor's Degree or relevant work experience - Fluent French and business English is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic AI/BI Account Executive
FEQ327R126 Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie in APJ. You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: - Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities - Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies - Displace or expand legacy BI platforms with AI-powered, governed analytics solutions - Lead conversations around semantic governance, self-service analytics, and natural language data access - Drive proof-of-value engagements and scale enterprise-wide adoption - Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact) - Enable field teams and serve as a subject matter expert on modern analytics architectures What we look for: - Enterprise sales experience in BI, analytics, data platforms, or AI/ML - Strong understanding of modern analytics architectures and data governance - Ability to sell to both technical and business stakeholders - Executive presence and experience navigating complex buying cycles - Passion for AI and the impact of GenAI on enterprise analytics - Experience operating in a specialist or overlay sales model - Ability to translate technical capabilities into clear business value - 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts - Bachelors Degree Preferred Qualifications: - Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot - Familiarity with semantic layers, metrics stores, or governed data models - Understanding of lakehouse architectures and cloud data platforms - Exposure to GenAI, natural language interfaces, or conversational applications - Consulting or solution design experience in customer-facing roles About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Account Executive, UAE
SLSQ227R380 Location: London (relocation to Dubai expected early 2027) Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for an Account Executive to manage our most strategic customer in the UAE. The role will be based in London and will require you to travel to the UAE on a regular basis. As a Strategic Account Executive, you are a sales professional experienced in selling to large Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and Partners. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. You will report to the Sales Director for the UAE. The impact you will have: - Assess your territory and develop a successful execution strategy - Exceed activity and quarterly revenue targets - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce - Identify new use case opportunities and showcase value to existing customers - Promote the value of the Databricks' Data Intelligence Platform - Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients - Build and demonstrate value with all engagements to guide successful negotiations to close point What we look for: - Extensive understanding of the data platform, open source and cloud ecosystems - Highly skilled in prospecting research and ability to map out key stakeholders - Demonstrated success in Value Selling and developing a mutual action plan - Ability to influence decision-making and strategy with customer leadership teams - Ability to establish credibility with the C-suite - Adept in selling to technical buyers - Mastery of MEDDPICC - Bachelor's Degree or relevant work experience - Fluency in English is required, fluency in Arabic is preferred - Willingness to relocate to Dubai in early 2027 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Account Executive-TELCO
SLSQ227R344 Candidates in the listed location(s) are encouraged for this role - Remote - Denver As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specificlaly in the TELCO space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs). You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: - Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. - Drive value-based growth within the account. - Expand the Databricks footprint into new business units and use cases. - Exceed activity, pipeline, and revenue targets. - Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. - Use a solution-based approach to selling and creating value for customers. - Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake - Prioritize opportunities and leverage appropriate resources. - Build a plan for success internally at Databricks and externally with your account What we look for: - You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight - Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion - Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts - The ability to simplify a technical capability into a value-based benefit - 7+ years of Enterprise Sales experience exceeding quotas in larger accounts - Managing a small set of enterprise accounts rather than a broad territory - Bachelor's Degree About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Account Executive, Public Sector
SLSQ427R355 As a Strategic Account Executive, Public Sector, you will own strategic sales into a marquee customer in Canada's public sector, driving adoption of our data and AI platform. You will lead the full sales cycle, build executive relationships, and collaborate closely with internal and partner teams to support Canada's digital government and modernization initiatives. The impact you will have: - Own and exceed revenue targets by continuing to grow a Strategic account in Montreal. - Develop and execute a clear territory and account strategy to identify, prioritize, and win high‑potential public sector accounts. - Plan, document, and drive the expansion of Databricks usage in newly landed accounts, turning initial projects into broad, high‑impact data and AI platforms. - Proactively identify new AI and data use cases in government operations and feed these insights into Canada's public sector go‑to‑market, influencing product direction and regional strategy. - Use a solution‑oriented, value‑based sales approach that links Databricks to measurable outcomes for public services and citizens. - Orchestrate Databricks’ internal teams and our ecosystem of partners (SI, cloud, and consulting partners) to run effective sales motions and deliver successful customer outcomes. What we look for: - 7+ years of SaaS, cloud, AI, or big data sales experience in Public Sector, with meaningful exposure to public sector accounts and a proven ability to drive adoption of new technologies through a consultative, solutions‑oriented sales approach. - Must speak fluent French - Demonstrated ability to navigate complex public sector stakeholder ecosystems, building consensus across multiple departments, budget owners, and decision/approval layers. - Deep understanding of public sector priorities in Canada, including typical buying processes, buying cycles, decision‑making structures, and the broader ecosystem of partners that support government projects. - Extensive experience with Canadian government procurement, including familiarity with budget formulation and execution, tender/RFP processes, evaluation criteria, and relevant compliance and security frameworks. - Strong background in selling usage‑based PaaS/SaaS or data, AI, and ML solutions is highly preferred. - Solid experience applying structured sales methodologies and processes (e.g., account planning, MEDDPICC, value selling, Command of the Message) to win complex, multi‑stakeholder deals. - Proven track record of creating strong customer champions and leading collaborative internal and external teams to support implementation and expansion within strategic accounts. - Clear understanding of how to build a focused partner strategy for the public sector and manage SI, cloud, and consulting partners to jointly win and deliver large, impactful projects. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Account Executive, Life Science
SLSQ327R4 Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. We are looking for a creative, execution-oriented Strategic Account Executive to join the team to maximise the phenomenal market opportunity that exists for Databricks within the Life Science industry. Your mission will be to grow one of our most strategic energy customers. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts. Reporting to the Strategic Sales Director for Denmark and Norway, as a Strategic Account Executive at Databricks you will come with an informed and compelling point of view on the Data, Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. The impact you will have: - You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals - You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform - You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement - You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: - You will have experience developing strong relationships with large (global) Enterprises global accounts, managing virtual teams, and leading complex sales campaigns in major Energy accounts - You will have experience working in Data, Cloud, or SaaS industries - Proof of exceeding sales quotas in high-growth Enterprise software companies - You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams - You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) - You will have experience co-developing business cases and gaining support from C-level Executives - You will have experience of value-based selling - Fluency in English is required, fluency in Danish is preferred About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Strategic Account Executive - Consumer Goods Indus...
SLSQ327R397 Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for an Strategic Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Consumer Goods industry. Your mission will be to grow one of our most strategic CPG customers. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts. Reporting to the Director, Sales, as a Strategic Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. The impact you will have: - You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals - You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform - You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement - You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions What we look for: - Experience leading and running large, extended virtual teams is essential. - Experience building and running relationships, co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI). - Experience developing strong relationships with large (global) Enterprise accounts and leading complex sales campaigns in major CPG accounts. This includes experience co-developing business cases, gaining support from C-level Executives, value-based selling, and driving usage and commit-based engagement models working with professional services and training teams. - You will have experience working in Big Data, Cloud, or relevent SaaS industries. - Proof of exceeding sales quotas in high-growth Enterprise software companies. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Startup Hunter Account Executive
SLSQ427R348 As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while expanding existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager. The impact you will have: - Build a territory plan by 30 days with a clear account prioritization strategy. - Align both new and existing customers with the Lakehouse vision and ecosystem. - Be able to range from faster transactions to large strategic deals. - Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect in this role. - Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes. - Lead with a customer first mindset and focus on business value What we look for: - 1+ years of closing sales experience - Prior experience in big data, Cloud, or SaaS sales - Be able to quickly learn new technologies and value proposition - Experience exceeding sales KPIs and quotas - Success closing new accounts while working existing accounts About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Technical Solution Engineering
About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Staff Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations. This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within a high-consequence compliance framework, you will navigate evolving operational models—including dedicated secure facility operations—while directly engineering out systemic roadblocks. If you are a sharp systems or cloud specialist looking to apply your technical expertise to the world's leading Data and AI platform within the intelligence and defense space, this role offers unmatched technical scope and mission-critical impact. The Impact You’ll Have - Ensure Platform Reliability: Drive the technical triage, infrastructure visibility, and incident resolution for Databricks’ multi-cloud data enclaves and Generative AI software running inside air-gapped environments. - Unblock Secure Engineering Pipelines: Serve as the essential secure-zone operational interface, unblocking complex GovCloud system interactions and taking on the analysis and triage burden for internal engineering teams. - Execute Advanced Tooling & Scripting: Safely execute and adapt infrastructure scripts, automation tools, and diagnostic workflows natively within secure boundaries, adhering strictly to modern access guidelines. - Optimize Environment Patching: Identify and resolve systemic environment blocks, reviewing infrastructure configurations to ensure streamlined, compliant patch deployment pipelines. - Maintain Guardrails & Compliance: Navigate and implement evolving operational frameworks within secure facilities (SCIF), ensuring all GovCloud interactions strictly meet rigorous federal security benchmarks. What We're Looking For - Minimum Qualifications - Active TS/SCI security clearance. - 7+ years of experience in Systems Engineering, Cloud Infrastructure, Support Engineering, DevSecOps, or a related technical operational role. - High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively. - Solid baseline familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. - Hands-on debugging and systems administration experience inside major public cloud boundaries (specifically AWS, Azure, or GCP platforms). - Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines. - Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience. - Ability to work out of our McLean, VA secure facility, including flexibility to support 24x7 operational coverage frameworks within a SCIF environment as required. - Preferred Qualifications - Active Counterintelligence (CI) or Full Scope Polygraph (FSP). - Prior experience supporting AWS World Wide Public Sector (WWPS), Oracle Cloud Infrastructure (OCI) Federal Support, or specialized high-side defense integration environments. - Demonstrated history of navigating complex federal compliance frameworks, GovCloud boundaries, or air-gapped environment constraints. - Strong professional tenure, showing a track record of stability and ownership within complex engineering or defense-intelligence spaces. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $153,400 - $210,850 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Technical Program Manager- Platform Features
P-1489 Platform & Product Experiences | Shape How Databricks Executes at Scale At Databricks, Staff TPMs don’t just run programs — they define how the company executes at scale. This role sits at the center of our highest-priority platform and product investments, partnering across engineering, product, and go-to-market teams to bring foundational capabilities to market globally. You will lead complex, high-visibility programs where the path isn’t fully defined, align senior stakeholders, and build the operating models that scale execution across the company. The Impact You’ll Make You will own delivery of some of Databricks’ most important initiatives and programs that reach tens of thousands of enterprise customers worldwide. You will influence roadmap decisions, drive execution across organizations, and ensure launches translate into real customer adoption and business impact. Examples of programs you may lead include: - Scaling core platform experiences that define how customers interact with Databricks (e.g., workspace, identity, access, and cross-product workflows) - Leading cross-functional initiatives that unify product experiences across data, AI, and governance capabilities What You’ll Own - End-to-End Program Leadership: Own complex, cross-functional programs from initial scoping through launch and adoption. Define program structure, drive execution, and hold teams accountable to clear outcomes. - Cross-Organizational Alignment: Align engineering, product, design, field, legal, and marketing around a shared plan. Manage dependencies, resolve conflicts, and keep execution on track. - Product Launch & Enterprise Adoption: Partner with field teams, solutions architects, and customer success to drive successful launches. Build early access programs, capture customer feedback, and translate it into execution priorities. - Operational Excellence: Identify where the organization is losing speed, design scalable processes, and drive adoption across teams. Build systems that outlast individual programs. - Executive Communication: Own communication with senior leadership. Provide clear updates, highlight risks, and enable fast, well-informed decision-making. - Data-Driven Execution: Define success metrics upfront. Track progress rigorously and use data to guide decisions and demonstrate impact. What We’re Looking For - 10+ years leading large-scale, cross-functional programs in enterprise software or B2B technology - Proven experience delivering end-to-end product launches across multiple geographies and functions - Demonstrated ability to bring structure to ambiguous, fast-moving environments - Experience influencing roadmap and prioritization, not just delivery - Credibility with both engineers and executives; strong communication skills with VP and C-level stakeholders - Track record of building scalable processes and operating models - Strong instincts for risk management, escalation, and stakeholder alignment - Experience defining and tracking success metrics; familiarity with SQL or dashboards is a plus - Experience operating with high autonomy and ownership in ambiguous, high-stakes environments Preferred - Experience with cloud platforms (AWS, Azure, GCP) - Background in data platforms, governance systems, or developer-facing products - Familiarity with Databricks or similar large-scale data ecosystems - Experience scaling both 0→1 programs and mature systems - Advanced degree in a technical field Why This Role is Unique This role sits at the center of Databricks’ core platform investments, with direct access to senior leadership and the opportunity to shape how the company executes. You will work on high-impact programs, influence key decisions, and build systems that scale across the organization. Benefits - Comprehensive health coverage (medical, dental, vision) - 401(k) plan - Equity awards - Flexible time off - Paid parental leave and family planning support - Gym reimbursement - Annual personal development fund - Work headphones reimbursement - Employee Assistance Program (EAP) - Business travel accident insurance - Mental wellness resources Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,200 - $247,850 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Technical Program Manager - Cleared/Security
RDQ227R1178 As a Staff Technical Program Manager within the Security Assurance Team, you will help lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives. You will navigate a complex, cloud-native landscape, collaborating with Security, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard our customers. This role requires an active Top Secret Clearance, the ability to access and work within a SCIF environment, and residence within the Washington, DC metropolitan area. The impact you will have: - Drive Project Outcomes: Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, federal authorizations, and compliance initiatives that expand Databricks’ reach across regulated and government markets. - Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment. - Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, Product, and Security teams to reach timely resolutions. - Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile. - Precision Program Management: Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting. - Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance Team subject matter experts and technical stakeholders to ensure seamless alignment on security goals What We Are Looking For - Active Clearance: Must hold an active Top Secret security clearance upon hire. - SCIF & Pentagon Operational Availability: - Must reside in or be willing to relocate to the Washington, D.C. Metropolitan Area . - Ability and willingness to work on-site out of a local D.C.-area SCIF up to 5 days a week during initial platform buildouts, accreditation pushes, or critical deployment phases. - Ability to travel locally across the D.C. region to the Pentagon and customer SCIFs as required. - Proven Technical Program Management & TS Cloud Experience: Direct experience project managing complex security programs, including unclassified enterprise compliance initiatives alongside the technical building and accreditation of cloud platforms in Top Secret IC / classified regions (e.g., AWS C2S/SC2S/Top Secret, Azure Secret/Top Secret, or air-gapped high-side deployments). - Proven Expertise: 7+ years of experience (with Bachelor’s degree or 5+ years with advanced degree) in security and technical program/project management. Ideally, at a fast-paced, cloud-native organization. - Strategic Ownership: Demonstrated success in leading high-stakes security compliance initiatives (e.g., FedRAMP, DoD IL5/IL6, NIST 800-53, CMMC, PCI, HIPAA) from inception to authorization or market. - Complexity Management: Experience navigating projects with intricate technical dependencies, multiple stakeholders, and competing constraints with geo-distributed teams. - Executive Presence: Ability to influence and communicate effectively across the spectrum, from deep-dive technical discussions with engineers to high-level briefings for senior leadership and government stakeholders. - Agility & Continuous Learning: A proven track record of rapidly mastering new processes, methodologies, technologies, and security frameworks to meet evolving business needs. - Communication Excellence: Superb verbal and written skills, with a knack for translating complex project data into clear, actionable insights and documentation. - Educational Foundation: Bachelor’s degree in Computer Science, Information Systems, or a related technical field (or equivalent practical experience). - Federal Experience Preferred: Experience supporting U.S. Government, Defense, Intelligence Community, or other highly regulated environments is strongly preferred. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - User Activation
P-925 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion. The impact you'll have: - Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences. - Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth. - Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows. - Hands-on full-stack software development to create dynamic, user-centric experiences. - Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations. - Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation. What we look for: - 15+ years of software engineering experience, with a strong track record of technical leadership and impact. - 5+ years of engineering management experience, including managing managers. - Expertise in Front End or Full Stack development. - Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences. - Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures. - Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives. - Passion for the data intelligence space. Why Join us? - Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory. - Lead and mentor a talented team of engineers solving challenging, customer-centric problems. - Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company. If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you! Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer, Technical Lead, Lakebase...
P-988 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the key engineers building out the Lakebase product. As the Technical Lead on the Lakebase Manager (LBM) team, you will drive, build, and operate the central control plane that owns the core logic for Lakebase: database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component (storage, compute, proxy, and console) and manages the full database lifecycle at scale, with a focus on reliability. This is a hands-on individual-contributor role: you lead the team technically and partner with the team's engineering manager, who owns people management and delivery planning. The stack is Go, Rust, PostgreSQL, and Kubernetes. The impact you will have: - Set the technical direction for LBM and own the quality and reliability of what the team ships, driving execution on the hardest, highest-risk parts. - Drive architecture and design, and write code on the hardest parts of your team's projects. - Set and uphold high technical standards through architecture reviews, testing, and a culture of engineering excellence. - Raise the technical bar of the team: mentor engineers, drive rigorous design and code review, and grow their distributed-systems and design skills. - Define SLIs, meet SLOs, and drive long-term reliability improvements across the database lifecycle. - Lead cross-team initiatives across the Lakebase stack: align with partner teams on dependencies and unblock cross-cutting projects. - Partner with engineering and product leadership to shape and deliver a long-term technical roadmap. What we look for: - 8+ years designing, building, and operating large-scale distributed systems, including the processes around testing, monitoring, and SLIs/SLOs. - A track record of technical leadership as an individual contributor: setting architecture and direction for a team's projects through influence, without formal management authority. - Strong hands-on depth: you still design systems and write production code, and can go deep on architecture for large-scale distributed services. - Experience operating reliability-critical, highly available services (on-call, incident response, HA/failover). - Comfortable working toward a multi-year vision with incremental deliverables, and balancing short-term delivery against long-term stability. - Ability to align multiple stakeholders on competing priorities. - Motivated by delivering customer value and impact. - Proficiency in Go, Rust, or a similar systems language; experience with PostgreSQL and Kubernetes is a plus. - BS (or higher) in Computer Science, or a related field. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $182,400 - $247,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Streaming
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can turn deep data insights into better business outcomes. We are the Spark Structured Streaming team, responsible for building stream processing into Apache Spark and the Databricks Data Intelligence Platform. Stream processing is still in its early days, and we're here to build not only state-of-the-art streaming technology but also a best-in-class managed offering for customers to run their streaming workloads. The role We're seeking an experienced Staff Engineer to drive the technical direction of Spark Structured Streaming, spanning both open source and Databricks-specific components. Your mission is to make Spark Structured Streaming the state-of-the-art stream processing engine — adding advanced capabilities such as sophisticated state management and new operators, while re-imagining the engine's architecture to drive improvements for latency, throughput, and cost. What you'll do: - Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform - Design and build core engine capabilities — state management, new operators, and architectural improvements to latency and throughput - Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production - Make company-wide impact by driving stream processing adoption across the Databricks product portfolio - Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap - Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent What we look for: - BS (or higher) in Computer Science or a related technical field, or equivalent practical experience - 8+ years building related systems — big-data ecosystems, Apache Spark, or database internals - A passion for database systems, storage systems, distributed systems, language design, or performance optimization - Comfortable working toward a multi-year vision with incremental deliverables - A track record of delivering features while maintaining a high bar for operational excellence and engineering quality - Comfortable working cross-functionally with product management and directly with customers, with the ability to deeply understand the product and customer personas Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $182,400 - $247,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Security Infrastructure
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection and Response. Experience building systems at large scale internet companies is a huge plus. - 10+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $221,200 - $241,100 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Security Infrastructure
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. - 10+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $190,900 - $253,750 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer (Search Ranking)
P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities - Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. - Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. - Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. - Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For - BS+ (M.S. or PhD preferred) in Computer Science, or a related field. - 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. - Experience applying LLM to search relevance - Experience in one or more of the following: - Query understanding - NLP - Text mining - Recommendations - Personalization - Discovery - Conversational AI - Strong understanding of computer science fundamentals. - Contributions to well-used open-source projects. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you! About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer, Search Quality
RDQ326R95 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks’ next-generation Search product. You’ll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns. You’ll work across research, product, and infra to push the frontier of retrieval quality for enterprise AI applications — blending traditional information retrieval techniques, representation learning, and neural ranking. Beyond hands-on contributions, you will help define our long-term vision for relevance and quality, mentor senior engineers, and lead strategic efforts that raise the accuracy, reliability, and product impact of Search across Databricks. The impact you will have: - Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks’ next-generation retrieval experiences. - Identify and solve challenges in ranking, query understanding, and hybrid retrieval — advancing state-of-the-art techniques in vector, keyword, and multimodal search. - Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency. - Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures. - Drive end-to-end engineering efforts — from early prototyping to production rollout — ensuring correctness, reliability, and measurable improvements to relevance. - Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing. - Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team. - Shape Databricks’ long‑term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products. What we look for: - 10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems. - Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies. - Strong understanding of relevance metrics and evaluation frameworks. - Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval. - Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems. - Proven ability to deliver high-impact technical initiatives with clear business or product outcomes. - Strong communication skills and ability to collaborate across teams in fast-moving environments. - Strategic and product-oriented mindset with the ability to align technical execution with long-term vision. - Passion for mentoring, growing engineers, and fostering technical excellence. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $165,300 - $219,675 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer- Search Quality
P-1408 The Mission We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight. The Role : - As a Search Quality Engineer, you sit at the heart of this transformation. You aren't just building a search engine; you are building the contextual backbone of the entire company. - You will own the quality of results for two distinct but deeply connected "users": - The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the "ground truth" needed to synthesize accurate, high-stakes business actions. - The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces. The Technical Challenge This isn't a solved problem. You will be tackling "Search" in its most evolved form: - Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent). - Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context. - High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality. - Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics. Why This is the Place to Be - You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk. What We’re Looking For - The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms. - The Quality and Metrics Obsessive: You understand that "relevance" is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with relevance metrics (nDCG, MRR, Precision@K). - The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer- Public Sector
P-1604 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments. We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code. The Impact You’ll Have - Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar . - Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds. - Infrastructure at Scale: Solve complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments. - Performance Optimization: Drive "zero-waste" compute initiatives, optimizing our engine and services to perform in resource-constrained or specialized regions (e.g., GovCloud). - Security & Reliability: Partner with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability. What We Look For - Required: Candidates must hold a current TS/SCI clearance (either active or currently held in an editable/re-activatable status within the 2-year window). - Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus. - Technical Breadth: BS/MS/PhD in Computer Science or a related field. - Experience: Staff : 9+ years of professional software development experience. - Systems Expertise: Deep understanding of Distributed Systems , concurrency, and performance optimization. - Language Proficiency: Strong production-level experience in at least one of: Java, Scala, Go, C++ or similar . - Cloud Experience: Experience building and deploying large-scale SaaS or cloud-native applications. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,500 - $248,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer, Observability
RDQ426R299 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform. We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer in the Observability team , you will develop observability solutions that provide insights into the health and performance of our products and infrastructure. The impact you'll have: - You will build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily. - You will manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product. - You will develop advanced workflows that accelerate incident diagnosis for Bricksters, allowing engineers to quickly derive insights from logs and metrics. You will leverage powerful capabilities of Databricks’ own data intelligence platform to push the boundaries of troubleshooting practices in the industry. - You will uplevel monitoring and reliability practices across Databricks engineering, developing opinionated tools that set common standards for managing structured logs, metrics, alerts, dashboards, and oncall rotations. - Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community. What we look for: - - BS (or higher) in Computer Science, or a related field. - 7+ years of production-level experience in one of: Go, Python, Java, Scala, Rust, C++, or similar languages. - Experience in software development, in large-scale distributed systems. - Experience driving large projects involving multiple teams - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Familiarity with observability infrastructure, monitoring patterns, and reliability practices. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $190,000 - $261,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer- Networking
P-1347 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India. We are seeking an experienced Staff Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges. What we look for: - 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language - 7+ years of experience developing large-scale distributed system s from scratch - Experience working on a SaaS platform or with Service-Oriented Architectures. - Extensive experience working in the Networking domain About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Multi Cloud Efficiency
P-1563 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. About the Team We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We aren't just cutting costs; we are engineering systems to scale efficiently as our cloud footprint expands into the hundreds of millions of dollars. The Role As a Staff Software Engineer, you will serve as the technical lead for the Bengaluru MCE chapter. You will be responsible for defining the technical strategy for efficiency projects where the solutions are not yet known. You will lead cross-functional efforts, working with finance and cost team, to tackle massive-scale engineering challenges, ensuring our systems can automatically drive cost efficiency and handle the complexity of global, multi-cloud data processing without compromising on performance or stability. As one of the founding senior engineers of the Bengaluru MCE chapter — a team that has already delivered millions of dollars in verified annual cloud savings within two quarters of formation — you will shape its technical direction and help scale it toward amplifying global impact. The impact you will have - Architect at Scale : Lead the design and implementation of systems to optimize cloud spend, driving impact in the magnitude of hundreds of millions of dollars. You will architect solutions for complex problems like reserved-instance automation, tag-based cost attribution at scale, automated waste-cleanup policy engines, and cross-cloud resource governance. - Drive Technical Strategy : Identify and deliver high-impact, well-adopted projects that solve complex efficiency problems. You will define the roadmap for our efficiency pillar, conducting thorough design reviews and risk assessments for systems supporting the company's core infrastructure. - Engineer for Efficiency : Design scalable systems for regression detection and automated resource rightsizing. You will build the frameworks that allow product teams to measure their "efficiency footprint” — the cost and resource impact of their services and hold them accountable through automated release gates that block changes that regress agreed efficiency targets (SLOs). - Operational Excellence : Serve as a technical authority for incident management, addressing complex, system-wide performance issues. You will improve the stability and reliability of our internal platform tools, ensuring they are robust enough to manage our growing global scale. - Technical Leadership : Act as a force multiplier by mentoring junior and senior engineers, raising the bar for engineering quality, and driving engineering culture across the organization. - Build self-driving efficiency systems: Design the automation and agentic layers — AI-driven detection, decisioning, and autonomous remediation — that let cost governance run continuously at scale, shifting the team from manual cleanup to systems that keep themselves efficient. What We Look For - 9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go. - Proven track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/GCP), and container orchestration (Kubernetes/Docker). - Deep expertise in identifying and solving performance bottlenecks in high-throughput, distributed environments. - Demonstrated ability to drive technical requirements for ambiguous problems where the path forward is not obvious. - T-shaped engineering skills: depth in distributed systems and breadth across cloud infrastructure, monitoring, and software lifecycles. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Money Team
Staff Software Engineer - Money Team P-940 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure). As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem. The impact you will have: - Design and manage the Money systems and services, commercializing all Databricks products and offerings. - Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions. - Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. - Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans. - Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers. - You will become an expert at using the Databricks Data + AI tools - Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. - Represent Databricks at academic and industrial conferences & events. What we look for: - BS or higher degree in Computer Science or a related field. - Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management. - Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale. - Demonstrated leadership skills and the ability to lead across functional and organizational boundaries. - A proactive approach and a passion for delivering high-quality solutions Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $182,400 - $247,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer (Money)
P-1346 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely & accurate billing, cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers. As one of the first engineers for Money at Databricks India , you will be key to building a base for one of Databricks’ most central engineering teams . You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure . Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The impact you will have: - Own Money systems and services that govern usage of all Databricks products and offerings. - Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. - Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. - Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. - Represent Databricks at academic and industrial conferences & events. What we look for: - BS/MS/PhD in Computer Science, or a related field - 12+ years of production level experience in one of: Java, Scala, C++, or similar language. - Comfortable working towards a multi-year vision with incremental deliverables. - Proven track record in architecting, developing, deploying, and operating large scale distributed systems. - Experience with software security and systems that handle sensitive data. - Demonstrated leadership skills and the ability to lead across functional and organizational boundaries. - A proactive approach and a passion for delivering high-quality solutions - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer, Model Serving
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency. As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform. The impact you will have: - Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence. - Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads. - Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads. - Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale. - Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems. - Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers. - Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance. - Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy. What we look for: - 10+ years of experience building and operating large-scale distributed systems. - Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability). - Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems. - Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value. - Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems. - Strong communication skills and ability to collaborate across teams in fast-moving environments. - Strategic and product-oriented mindset with the ability to align technical execution with long-term vision. - Passion for mentoring, growing engineers, and fostering technical excellence. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer, Metrics and Logging
RDQ426R299 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale. The impact you'll have: - Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily. - Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services. - Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs. - Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats and improving the developer experience. - Improve reliability and cost-efficiency by optimizing log retention, indexing, and query performance to reduce operational overhead. - Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community. What we look for: - BS (or higher) in Computer Science, or a related field. - 7+ years of production-level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages. - Deep experience in software development, in large-scale distributed systems. - Experience driving complex projects involving multiple teams and stakeholders. - Familiarity with log collection, health monitoring, and observability tools. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $190,000 - $261,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Machine Learning (Search...
P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities - Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. - Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. - Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. - Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For - BS+ (M.S. or PhD preferred) in Computer Science, or a related field. - 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. - Experience applying LLM to search relevance - Experience in one or more of the following: - Query understanding - NLP - Text mining - Recommendations - Personalization - Discovery - Conversational AI - Strong understanding of computer science fundamentals. - Contributions to well-used open-source projects. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you! About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer (L6) - Partner Ecosystem
P- 1536 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Partner Ecosystem team’s mission at Databricks is to enrich and win customer workloads through seamless integrations with strategic partners, while also widening the partner ecosystem to include new partners and data applications. This team enables seamless connectivity between Databricks and a vast range of partner applications through SQLDrivers. This vital data integration work powers the majority of the company’s Data Warehousing revenue by allowing customers to effortlessly connect their applications to Databricks SQL. In addition to that, through products like Databricks Partner Connect, we are simplifying the discovery and integration process, allowing you to seamlessly incorporate your preferred tools directly within the Databricks platform. We are seeking an experienced Staff / Sr Staff Engineer to join our Partner Ecosystem team. In this role, you will design, develop, and maintain SQL drivers that power the majority of the data warehousing traffic and critical infrastructure components that power our partner integrations. You'll focus on optimizing SQLDrivers for performance, improved reliability and telemetry to offer seamless connectivity to our partners and enterprise customers, while also maintaining open source repositories and actively engaging with the developer community. You will collaborate with cross-functional teams to define technical requirements, architect solutions, and implement robust systems that enable our partners to connect seamlessly to the Databricks platform, ultimately driving Data Warehousing revenue and customer satisfaction. The impact you'll have: As a Staff Software Engineer working on the Partner Ecosystem team, you will get to build and evolve a set of highly performant and resilient Databricks SQL connectors for partners and enterprise customers enabling them to connect to Databricks SQL seamlessly and derive meaningful insights from data. In addition to that, you will get to evolve our Partner Connect offering, helping grow the elite partner ecosystem within Databricks.You will achieve this by being customer obsessed, raising the bar on open source community engagement, being hands-on in building the product, closely collaborating with the product team. You’ll work on challenges such as: - Building reliable SQL connectors - Engage and grow the open source community around SQL connectors - Work closely with the SQL server teams, delivering new features to the SQL connectors, as per customer needs. - Work closely with product team to shape the future of Partner Connect, thus growing the partner ecosystem around Databricks What We Look For - BTech (or higher) in Computer Science, or a related field - 10+ years of production level experience in one of: Java, Python, Go, or similar language - Comfortable working towards a multi-quarter vision with incremental deliverables - Proven track record in architecting, developing, deploying, and operating highly performant systems - Experience with open source communities through maintaining or contributing to open source repositories - Demonstrated ability to lead engineering projects across functional and organizational boundaries - Ability to navigate ambiguity and work with stakeholders to bring clarity and design innovative solutions to complex problems About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Ingestion
P-1403 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces. We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company. The Impact you will have: - Solve real business needs at large scale by applying your software engineering. - Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers - Low level systems debugging, performance measurement & optimization on large production clusters. - Build architecture design, influence product roadmap, and take ownership and responsibility over new projects - Use your deep experience to help prevent and investigate production issues. - Plan and lead complicated technical projects that work with several teams within the company. - A strong influencer or driver in the organization’s roadmap and direction. - Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs. - Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation). - Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: - 15+ years industry experience building and supporting large-scale distributed systems. - Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc). - Comfortable working towards a multi-year vision with incremental deliverables. - Motivated by delivering customer value and impact. - Strong foundation in algorithms and data structures and their real-world use cases. - Experience driving company initiatives towards customer satisfaction. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Ingestion
P-375 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces. We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company. The Impact you will have: - Solve real business needs at large scale by applying your software engineering. - Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers - Low level systems debugging, performance measurement & optimization on large production clusters. - Build architecture design, influence product roadmap, and take ownership and responsibility over new projects - Use your deep experience to help prevent and investigate production issues. - Plan and lead complicated technical projects that work with several teams within the company. - A strong influencer or driver in the organization’s roadmap and direction. - Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs. - Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation). - Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: - 15+ years industry experience building and supporting large-scale distributed systems. - Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc). - Comfortable working towards a multi-year vision with incremental deliverables. - Motivated by delivering customer value and impact. - Strong foundation in algorithms and data structures and their real-world use cases. - Experience driving company initiatives towards customer satisfaction. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer (Infrastructure)
P-1346 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch ! As a Staff Software Engineer at Databricks India, you can get to work across : - Backend (Infrastructure) The impact you'll have: Our Infrastructure Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: - Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. - Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. - Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: - BS (or higher) in Computer Science, or a related field - 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language - 6+ years experience developing large-scale distributed systems from scratch - Experience working on a SaaS platform or with Service-Oriented Architectures - Experience working on Infrastructure related projects is a plus About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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