Manager, Forward Deployed Engineering - CMEG

Databricks

United States

Remote

USD 212,000 - 291,000

Full time

14 days+

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Job summary

Databricks Inc. in the United States is seeking a Manager, Forward Deployed Engineering to lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of transformation.

You will partner with the company's most strategic enterprise customers across Communications, Media, Entertainment & Gaming (CMEG) to migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.

Qualifications

  • 4+ years of people leadership experience managing technical delivery teams.
  • 5+ years hands-on experience as a technical solutions architect or data/AI engineer.
  • Proven success leading large-scale data migrations and AI/ML programs.
  • Strong stakeholder management with C-suite influence.
  • Familiarity with Spark, MLflow, Delta Lake and modern data/AI ecosystems.

Responsibilities

  • Oversee regional performance targets including billable utilization and team growth.
  • Partner with Account Executives and Field Engineering leaders to scope and deliver PS programs.
  • Establish best practices for project oversight, risk management, and quality standards.
  • Synthesize field insights to guide Engineering and Product management roadmaps.
  • Serve as escalation point for high-stakes customer situations and protect relationships.
  • Mentor Forward Deployed Engineers through career pathways and coaching.

Skills

People leadership
Technical solutions architect
Data/AI engineering
Enterprise data migrations
Stakeholder management
Travel 20%

Tools

Apache Spark
MLflow
Delta Lake

Job description

CSQ227R53

the company is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.

As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with the company' most strategic enterprise customers across Communications, Media, Entertainment & Gaming (CMEG), you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.

As a people leader, you will build and scale a team that represents the company' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

The impact you will have:
  • Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.
  • Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.
  • Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.
  • Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the the company roadmap while driving the creation of reusable customer accelerators and frameworks.
  • Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.
  • Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.
What we look for:
  • 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.
  • 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.
  • Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy.
  • Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.
  • Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.
  • Familiarity with the company, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with the company or a direct competitor is highly valued.
  • Ability to travel to customer sites and the company offices approximately 20% of the time.
Pay Range Transparency

the company is committed to fair and equitable compensation practices. The pay range(s) for this 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, the company 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.

Local Pay Range

$211,800—$291,300 USD

About the company

the company 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 the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, 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 the company, 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 the company 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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