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Tier-1 brand but senior, niche Databricks leadership role reduces candidate density.
Medium — Databricks and data engineering skills transfer across industries, though HR/workforce domain preference exists.
High due to explicit 15+ years and mandatory Databricks, Spark, Delta Lake, Python, and cloud experience.
Own and drive the GHR Databricks platform strategy, architecture, and delivery for workforce data, analytics, and AI capabilities.
Lead design, development, and delivery of enterprise HR data products and AI-ready datasets in collaboration with global teams and stakeholders.
Manage product backlog, priorities, and platform modernization efforts to ensure scalability, performance, and adoption.
15+ years of experience in data engineering, analytics platforms, and cloud-based data solutions.
Deep expertise with Databricks, Spark, Delta Lake, SQL, Python, and modern cloud data engineering patterns.
Experience leading global teams and delivering large-scale data initiatives.
Preferred experience with HR, workforce, or enterprise business data; work experience in this domain is important but not strictly a hard filter.
Experienced in product ownership and technology leadership within data platform environments, especially Databricks-centric.
Skilled at partnering cross-functionally with analytics, AI, reporting, and data governance teams to drive impactful business outcomes.
Demonstrates ability to operate at strategic and tactical levels managing both technology delivery and platform strategy in large, global organizations.