Senior Data & Analytics Engineer, Domain Enablement
Shield AIAutonomous Systems company
RemoteSenior
Andreessen Horowitz
L3Harris
Hanwha Asset Management
U.S. Innovative Technology Fund
Washington Harbour Partners
Riot Ventures
Data & AI
About the role
TL;DR
Enables business domains on Databricks by building governed data assets and reusable analytical patterns.
- •Shield AI is seeking a Senior Data & Analytics Engineer to enable business domains on the Databricks platform.
- •This hybrid role bridges data engineering and analytics engineering, focusing on building governed data assets and reusable patterns.
- •Key Responsibilities Build and maintain Silver and Gold data models, domain marts, and curated datasets for priority domains on Databricks.
- •Partner with business stakeholders to translate requirements into governed transformation logic.
- •Create reusable domain patterns and analytical building blocks for self-service analytics.
- •Support the design of semantic views for BI tools and AI/BI experiences.
- •Ensure data sensitivity and classification are reflected in modeling choices.
- •Requirements 5+ years of experience in analytics engineering, BI engineering, or data engineering.
- •Strong dimensional modeling and semantic design skills.
- •Strong SQL skills and comfort with modern cloud data platforms like Databricks.
- •Ability to translate ambiguous business requirements into auditable data models.
- •Data engineering fluency for transformations, testing, and production deployment.
Required skills
SQLDatabricksSparkPython
Nice-to-have skills
Revenue OperationsMarketing AnalyticsProduct Analytics
Domain expertise
defense
Tech stack
SQLDatabricksPythonSpark
