RL
Lead Data Engineer – Data Product
Resource Logistics, Inc.
🇵🇱 Poland | 🇺🇸 United States
Hybrid
Staff / Principal
2 months ago
- dbt
- AI
- Snowflake
- SQL
- Python
- Git
- CI/CD
- Devops
- Vault
- EHR
2 months ago
Location -Warsaw, (Indiana, US - 100% onsite)
Job Details:
Lead Data Engineer – Data Product (Onshore)
Role Summary: Lead the design and build of Data Products in the GOLD layer, driving the Data Product Factory approach for MVP use cases.
Key Responsibilities:
• Own the build of 5 source-aligned data products + 2 MVP data products
• Lead dbt project setup (profiles, sources, seeds, models across RAW → CURATED → GOLD)
• Implement anonymization macros (SHA-256 hashing) reused across all sources
• Drive Data Product publishing, catalog registration, lineage capture in Horizon
• Coordinate with Gen AI Engineer to expose Gold-layer products to AI/BI semantic layer
• Sprint planning, backlog grooming, code reviews for 4+ engineers
Must-Have Skills:
• 8+ years in data engineering with 4+ years leading teams
• Expert in Snowflake SQL, dbt (Core/Cloud), Python
• Strong on ADF orchestration, Snowpipe, COPY INTO, dynamic tables
• Data Product design patterns (FAIR principles, Data Contracts)
• Git, CI/CD (Clienture DevOps), version-controlled DDL
Good-to-Have: Kimball/Data Vault modeling, healthcare data (Claims, EHR) Experience: 8–12 years
Lead Data Engineer – Data Product · Resource Logistics, Inc.