Synced from Greenhouse · Aug 11

Director of Field Engineering

DatabricksUnited StatesPosted Aug 11, 2026
Director of EngineeringExecutive
Apply now - freeSave & get alerts

Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

870
Other open Databricks roles
Aug 11
Posted
Greenhouse
Applicant system
Job descriptionReq 8693320002

REQ ID: FEQ427R375

Mission:

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.

The impact you will have: 

  • 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.

What we look for:

  • 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.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Free to start · No credit card · Cancel anytime

Keep exploring

What this role pays, where else it is open, and how to write the application.

Director of Field Engineering
Databricks · United States
Apply