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Sr. Manager, Field Engineering

Databricks

Remote · Chicago, Illinois; Connecticut; New Jersey; New York; Remote - Washington D.C.; San Francisco, United StatesFull Time
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Sr. Manager, Field Engineering at Databricks is a full time role based in Remote · Chicago, Illinois; Connecticut; New Jersey; New York; Remote - Washington D.C.; San Francisco, United States (remote). It was published on 20 August 2026 and was open at last check.

Sr. Manager, Field Engineering at Databricks — key details
RoleSr. Manager, Field Engineering
CompanyDatabricks
LocationRemote · Chicago, Illinois; Connecticut; New Jersey; New York; Remote - Washington D.C.; San Francisco, United States (remote)
Employment typeFull Time
Published20 August 2026
StatusOpen at last check

FEQ427R411 Req ID

Mission

Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks’ Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and gener ative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help custo mers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help ac celerate Data bricks' growth in the market.

The Impact You Will Have

You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode

Make your customers e xtremely successful with Databricks and provide outsized value to their businesses

You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates

You will establish relationships across the business to make your customers and team successful

You will keep your team of SAs ah ead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack

You will ensure that you r team is continuously learning and working to provide our customers with the most comprehensive solution s for their needs

You will engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy and drive world class execution towards meeting aggressive sales targets

What We Look For

Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players

10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)

Trusted advisor to technical executives that guide strategic data infrastructure decisions

Lead a team through best practices for technical qualification, technical validations, architectu re discussions, and product demonstrations

Establish and foster external partnerships with systems integrators (SIs) and independent software vendors ( ISVs) that maximize and accelerate client success

Strong understanding of consumption-driven business models and the recipes for long term growt h and success

Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles

Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other importa nt internal cross-functional teams

Experience working cro ss-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success

Must be technical enough to earn the trust of Engineering talent and leadership at Databricks

Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for th is 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, Databrick s 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.

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 d uties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may declin e to proceed with an applicant on this basis alon e.

Applicant Privacy Notice

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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Sr. Manager, Field Engineering at Databricks — questions answered

What does the Sr. Manager, Field Engineering role at Databricks pay?

Databricks does not publish a salary on this Sr. Manager, Field Engineering listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.

Is the Sr. Manager, Field Engineering role at Databricks remote?

Yes — Databricks advertises this Sr. Manager, Field Engineering role as remote, tied to Remote · Chicago, Illinois; Connecticut; New Jersey; New York; Remote - Washington D.C.; San Francisco, United States, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Databricks before you apply.

Is the Sr. Manager, Field Engineering role at Databricks still open?

The Sr. Manager, Field Engineering posting at Databricks was open at OnJob's last check of the employer's careers page, having been published on 20 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Sr. Manager, Field Engineering role at Databricks?

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