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Lead Engagement Manager, FDE - Communications, Media, Entertainment & Gaming

Databricks· Engineering
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Hybrid (Dallas, TX; New Jersey; New York)$178.8k - $245.9kFull-timePosted 3w ago

About the role

Lead Engagement Manager delivering measurable impact for CMEG customers and at the BU/Regional level in Forward Deployed Engineering. Owns and independently scopes multi-quarter, highly complex initiatives with high autonomy in high-stakes environments.

Responsibilities

  • - Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals.
  • - Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries.
  • - Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.
  • - Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings.
  • - Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.

Qualifications

  • - 10+ years of leadership experience in Professional Services.
  • - Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments.
  • - Proficient thought leadership, increasingly viewed as an external expert in the industry.
  • - Participate in the hiring process to attract top-tier talent.
  • - Expertise in Databricks architecture, ecosystem, and strategic account planning.
  • - Ability to travel up to 25-50% as required.

Skills

Required:Leadership in Professional ServicesPS&T offerings and customizationDatabricks architecture and ecosystem

Benefits

  • Benefits information available via regional page or document (link provided in description).
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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