Manager, Forward Deployed Engineering - CMEG

Cacheflow; Washington (District of Columbia); Hybrid; USD 211,800 - 291,300; Full time

Benefits offered by this job

Comprehensive benefits

Annual performance bonus

Equity opportunities

Job summary

Databricks is seeking a Manager, Forward Deployed Engineering to lead a high-performing team. This role involves strategic project oversight, customer engagement, and driving team performance across industries like Finance, Healthcare, and Retail.

The ideal candidate will have significant experience in managing technical teams and a proven record in leading data migrations and AI programs. Join Databricks and play a crucial role in transforming how enterprises use AI and data.

Qualifications

• 4+ years of people leadership experience managing high-performing technical teams.
• 5+ years of hands-on experience as a technical solutions architect or data/AI engineer.
• Experience leading large-scale data migrations and AI/ML programs.

Responsibilities

• Drive regional performance targets including team growth and customer success.
• Lead high-stakes enterprise engagements delivering transformational PS programs.
• Develop and retain exceptional technical talent through mentorship.

Skills

People leadership

Technical solutions architecture

Data platform migrations

AI/ML programs

Stakeholder management

Tools

Databricks

Apache Spark

MLflow

Delta Lake

Job description

CSQ227R53

Databricks 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 at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations 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 Databricks' 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 modernisation 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:

• Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio
• Lead high‑stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics
• Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice
• Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution
• Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI 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 organisations 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 executive presence and stakeholder management skills, with experience navigating complex, high‑stakes customer environments and influencing at the C‑suite level
• Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands‑on experience with Databricks or a direct competitor is highly valued

Pay Range Transparency

Databricks 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, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for an annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page.

Local Pay Range

$211,800 — $291,300 USD

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.