Senior Manager, Data Engineering
Full Job Posting
Qualifications
- Leadership Experience: 10+ years in data/software engineering, including 3+ years directly managing engineering leads, managers, or senior ICs across distributed teams.
- Databricks & Data Platform Fluency: Strong working knowledge of the Databricks ecosystem (Unity Catalog, Delta Lake, Delta Live Tables, Databricks Workflows, Databricks SQL) sufficient to evaluate architecture trade-offs and coach technical leads, without requiring day-to-day hands-on coding.
- AI/GenAI Literacy: Working understanding of GenAI application patterns (LangChain, vector databases, Databricks Genie, etc) to guide governed AI enablement decisions across both teams.
- People & Org Development: Proven track record of hiring, performance calibration, career pathing, and building high-performing, retention-focused engineering teams.
- Program & Delivery Management: Experience running OKRs/roadmaps, capacity planning, and cross-team dependency management across multiple engineering disciplines.
- FinOps & Budget Management: Experience owning cloud/platform budgets and driving cost-efficiency accountability across teams.
- Analytical & Influencing Skills: Ability to synthesize technical trade-offs surfaced by multiple leads into a single executive narrative, and to influence decisions without dictating implementation details.
- Technology Curiosity: A demonstrated habit of tracking industry and Databricks/AI trends, hands-on experimentation to validate fit, and driving pragmatic adoption rather than chasing hype.
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