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Databricks Data Engineer SME - Clearance Required
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What you'll do:
- Manage the engineering team to deliver enterprise data products on the Databricks platform.
- Establish operating rhythms for planning, prioritization, and capacity management.
- Partner with business leaders to shape intake and clarify outcomes.
Qualifications:
- 12+ years in data engineering, analytics, or related fields.
- 3+ years leading technical teams.
- Strong understanding of lakehouse architecture and data governance.
Preferred:
- Hands-on Databricks experience.
- Experience scaling enterprise data functions.
- Background in aerospace, defense, or regulated environments.
Shield AI
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports global operations.