Lead Data Engineer Data Product


Saim Technologies
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Job Details
Skills
- Data Products
- GOLD layer
- 2 MVP data products
Summary
Job Title: Lead Data Engineer Data Product
Location: Warsaw, IN (Onsite)
Experience: 8 12 years
Job Details:
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 (Azure DevOps), version-controlled DDL
Good-to-Have: Kimball/Data Vault modeling, healthcare data (Claims, EHR)
- Dice Id: 91131463
- Position Id: 9041243
- Posted 11 hours ago
Company Info
About Saim Technologies
Saim Technologies provides a variety of services related to Information Technology and out sourcing and has been recognized as a one of the emerging leader in software solutions. We provide custom software development, Staffing, Training and engineering services. We offer Enterprise level web based applications, web services, technical resources, Enterprise level database, software hosting, technical support services, routine programming, and more.
Our IT services focus on providing you with increased business performance by leveraging our technological expertise, business knowledge, process quality, and people. Our dedicated Centers of Excellence and practices around each of our service offerings enable us to continuously improve processes, retain project learning, and expand knowledge repositories to deliver consistent value.

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