Director, Field Engineering (CPG & Retail)

Databricks · United States · Field Engineering - FE Direct Enterprise · listed August 11, 2026

The shape of it

Seniority
Director
Experience asked
3–10 years
Where
Not stated
Requirements listed
11
Length
1,087 words

In the posting’s own words

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.

What it asks for · 11

  • 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.

What the job covers

  • 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.

Degree language

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Tools and skills named

Go to market
  • Customer success3×
  • Forecasting2×
  • Partnerships2×
  • Enterprise sales
Data
  • Databricks7×
Ways of working
  • Cross-functional2×
  • Mentorship
Operations & finance
  • Supply chain2×
Models & research
  • Machine learning

Words the posting leans on

  • customer24×
  • experience15×
  • business13×
  • cpg12×
  • engineering12×
  • retail12×
  • data10×
  • enterprise10×
  • solutions9×
  • leadership8×
  • organizations7×
  • technical7×
  • field engineering6×
  • priorities6×
  • proven6×
  • relationships6×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 26, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.