Databricks

1 week ago

Manager, Forward Deployed Engineering - Public Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead a team of Forward Deployed Engineers for strategic Public Sector enterprise customers, guiding delivery of data migrations, modernization, and next-generation AI/GenAI solutions. You’ll oversee regional performance targets, establish scalable project oversight and quality standards, partner with field leaders and account teams to scope and deliver Professional Services programs, and provide engineering/product feedback from customer insights while serving as the escalation point for high-stakes situations.

Location: Maryland, Virginia, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: Government & Public Administration

Seniority: Manager level

Key Responsibilities

•Oversee regional performance targets including billable utilization, team growth, and hiring while driving delivery excellence across the Forward Deployed Engineering portfolio.
•Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services programs spanning data migrations and AI/ML.
•Establish best practices for project oversight, risk management, and quality standards to ensure engagements are delivered on time and to specification.
•Synthesize field insights from team engagements to provide feedback to Engineering and Product, helping guide the product roadmap and develop reusable customer accelerators and frameworks.
•Serve as the critical escalation point for high-stakes customer situations and mentor Forward Deployed Engineers through structured career pathways and technical coaching.

Travel: Medium travel

Pay and Benefits

Salary: USD 211,800 - 291,300 annually

Key Requirements

•4+ years of people leadership experience managing technical delivery teams, solution architects, or professional services organizations.
•5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer.
•Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments across industries including Public Sector.
•Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.
•Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, and the modern data and AI ecosystem (hands-on experience highly valued).

Experience:Public SectorData platform migrationsAI/ML

Skills:LeadershipStakeholder managementMentoringRisk managementCustomer escalation management

Languages:En

Tech Stack:DatabricksApache SparkMLflowDelta LakeLakehouseMLOpsGenAIAI agentAI/MLReal-time intelligenceProfessional services

Eligibility

Security Clearance:Secret

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Databricks

1 week ago

Manager, Forward Deployed Engineering - Public Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Maryland, Virginia, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: Government & Public Administration

Seniority: Manager level

Key Responsibilities

•Oversee regional performance targets including billable utilization, team growth, and hiring while driving delivery excellence across the Forward Deployed Engineering portfolio.
•Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services programs spanning data migrations and AI/ML.
•Establish best practices for project oversight, risk management, and quality standards to ensure engagements are delivered on time and to specification.
•Synthesize field insights from team engagements to provide feedback to Engineering and Product, helping guide the product roadmap and develop reusable customer accelerators and frameworks.
•Serve as the critical escalation point for high-stakes customer situations and mentor Forward Deployed Engineers through structured career pathways and technical coaching.

Travel: Medium travel

Pay and Benefits

Salary: USD 211,800 - 291,300 annually

Key Requirements

•4+ years of people leadership experience managing technical delivery teams, solution architects, or professional services organizations.
•5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer.
•Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments across industries including Public Sector.
•Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.
•Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, and the modern data and AI ecosystem (hands-on experience highly valued).

Experience:Public SectorData platform migrationsAI/ML

Skills:LeadershipStakeholder managementMentoringRisk managementCustomer escalation management

Languages:En

Tech Stack:DatabricksApache SparkMLflowDelta LakeLakehouseMLOpsGenAIAI agentAI/MLReal-time intelligenceProfessional services

Eligibility

Security Clearance:Secret

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn