Autonomy for the world. Backed by a16z.
About the role
The Senior Staff Data Engineer will help build and operate the enterprise lakehouse on Databricks, creating the governed data foundation that supports multiple business domains and downstream analytics. This is a hands-on role, responsible for scalable ingestion, reliable data processing, and strong technical controls across the Bronze and Silver layers of the medallion architecture. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 12+ years of data engineering experience, including hands-on ownership of production data pipelines
- Strong Databricks experience, including Delta Lake, Databricks Workflows or Jobs, and Spark with PySpark and/or Spark SQL
- Working knowledge of Unity Catalog, including catalogs, schemas, tables, lineage, and access control concepts
- Experience with batch, CDC, and/or streaming ingestion patterns and the operational trade-offs associated with each
- Experience with CI/CD and deployment automation for data pipelines and platform assets, including version control, testing, and controlled promotion across environments
- Strong SQL skills and solid grounding in data modeling fundamentals, even if dimensional modeling is not the primary responsibility of this role
More about this role
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .
Role Summary
The Senior Staff Data Engineer will help build and operate the enterprise lakehouse on Databricks, creating the governed data foundation that supports multiple business domains and downstream analytics. This is a hands-on role, responsible for scalable ingestion, reliable data processing, and strong technical controls across the Bronze and Silver layers of the medallion architecture.
This role is not limited to moving data from point A to point B. The Data Engineer is expected to understand the meaning, sensitivity, classification, and intended use of the data flowing through the pipelines they build, and to apply that understanding when designing...
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