Databricks has an opening for a Director, Field Engineering (CPG & Retail), based in Indiana. It is a full-time position. No pay range is included in the posting.
The description below comes from Databricks's own job posting.
REQ ID: FEQ427R375
As the Director of Field Engineering, you will be responsible for partnering with our enterprise Consumer Packaged Goods (CPG) and Retail customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical business challenges.
Reporting to the Tech GM of Field Engineering for Retail & Consumer Packaged Goods (CPG), the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects focused on acquiring new customers and expanding strategic relationships across the Retail and CPG industry. You will work closely with Sales, Product, Engineering, Customer Success, and executive stakeholders to drive strategy and execution against our ambitious growth goals.
You will foster a culture of psychological safety while developing and scaling a high-performing team with expertise in enterprise software, data engineering, analytics, AI/ML, and cloud technologies. Your experience partnering with Sales will help drive complex enterprise opportunities while coaching managers and field engineering teams to deliver exceptional customer outcomes. You will guide your team through strategic engagements, communicate complex technical solutions in terms of business value, support enterprise sales cycles, and build trusted relationships with senior business and technology leaders across the Retail and CPG industry.
Hire and manage first-line Managers and a growing team of technical pre-sales
Solutions Architects.
Build a collaborative culture within a rapid-growth team. Embody and promote
Databricks' customer-obsessed, truth-seeking, diverse culture, and first principles
mindset.
Develop trusted, long-term executive relationships with customers while maintaining a
deep understanding of the Retail and CPG industry, including key business trends,
competitive dynamics, and digital transformation priorities.
Help customers accelerate their Data and AI strategies across areas such as customer
experience, merchandising, supply chain, demand forecasting, marketing, and
operations.
Promote a solution- and value-based Field Engineering organization.
Display an understanding of customer business priorities and revenue opportunities
across the assigned region and industry.
Serve as a thought leader for Databricks and within the Retail, CPG, Data, and AI
ecosystem.
At least 3 years of second-line leadership experience managing teams of 30+
individuals, with 10+ years of overall leadership experience.
Proven success leading high-growth enterprise software pre-sales organizations
within Retail, CPG, cloud, data, analytics, or AI.
Experience partnering with Retail and/or CPG customers on large-scale data,
analytics, AI, or digital transformation initiatives.
Ability to elevate executive engagement, with a track record of driving large strategic
transactions and expanding high-growth enterprise accounts.
Proven leadership ability to influence, develop, and empower teams to achieve
ambitious business objectives through collaboration.
Drive operational rigor to manage a high-growth business, establishing the right
operating cadence while ensuring visibility into customer priorities, escalations, and
product feedback.
Proven track record of delivering transformational customer outcomes and
measurable business value.
Track record of building strong customer relationships and cross-functional
partnerships across Sales, Engineering, Product, Marketing, and Customer Success.
Experience positioning technical solutions within complex enterprise environments
and helping customers realize long-term value and platform adoption with Databricks.
Strong operational leadership with experience implementing scalable processes that
improve the effectiveness and productivity of technical field organizations.
Bachelor's degree in Computer Science, Information Systems, Engineering, or
equivalent practical experience.
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.
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.
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.
Databricks has not included pay in the posting.
No, it is an on-site job in Indiana.
The posting mentions at least 3 years of relevant experience, a bachelor's degree or equivalent and skills such as Customer Success, Supply Chain and Merchandising. Read the full description above for the complete list.
Use the apply button on this page. It takes you to Databricks's own application form, so your CV goes directly to their hiring team.
Databricks published the role on August 11, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Databricks careers page (databricks.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.
Databricks publishes its open roles on its own careers board. This page collects the Databricks jobs that are live right now. Each listing links to Databricks' application form, and we remove a listing once the employer closes it.
Industry: Technology
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