Databricks: Director, Field Engineering (CPG & Retail) — United States

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Director, Field Engineering (CPG & Retail) in United States, under reference 8693320002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Field Engineering - FE Direct Enterprise
• Employer listing date: 11 August 2026

Responsibilities and work described

• Hire and manage first-line Managers and a growing team of technical pre-sales
• Solutions Architects
• Building: a collaborative culture within a rapid-growth team
• Embody and promote
• Databricks' customer-obsessed, truth-seeking, diverse culture, and first principles
• Mindset
• Development: trusted, long-term executive relationships with customers while maintaining a
• Competitive dynamics, and digital transformation priorities
• Help customers accelerate their Data and AI strategies across areas such as customer
• 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

Essential requirements and candidate background

• Deep understanding of the Retail and CPG industry, including key business trends,
• Experience, merchandising, supply chain, demand forecasting, marketing, and
• At least 3 years of second-line leadership experience managing teams of 30+
• Individuals, with 10+ years of overall leadership experience
• 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
• Elevate executive engagement, with a track record of driving large strategic
• Transactions and expanding high-growth enterprise accounts
• 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
• Track record of delivering transformational customer outcomes and
• Measurable business value
• Track record of building customer relationships and cross-functional
• Partnerships across Sales, Engineering, Product, Marketing, and Customer Success
• Experience positioning technical solutions within complex enterprise environments

Education and qualification routes

• Degree / qualification: Bachelor's degree in Computer Science, Information Systems, Engineering, or

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: United States

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Director, Field Engineering (CPG & Retail) vacancy is not an offer for reference 8693320002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8693320002.

Compare your qualifications and experience with the essential conditions for the United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

• AI/ML
• Excel
• AI
• compliance
• sales
• marketing
• supply chain
• stakeholder management
• partnership development