Live opening · Posted 19 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
[Skills & Assignment]
Experience: 4.0 - 20 years
Max Experience: 20
Key Responsibilities
Healthcare Domain Engineering: Design and implement highly scalable data models capable of integrating core healthcare domains, including member eligibility, claims, billing, provider networks, clinical records, and utilization management.
Enterprise Data Modeling: Own the strategy and execution of conceptual, logical, and physical data models. Build robust structures for transactional (OLTP) applications, dimensional analytical systems (OLAP), and modern lakehouse architectures.
Snowflake Ecosystem Optimization: Architect end-to-end data pipelines and storage strategies within the Snowflake Data Platform, utilizing advanced features such as Streams, Tasks, Snowpipe, and secure data sharing.
Relational Database Strategy: Design and maintain low-latency, highly available transactional database layers utilizing Amazon RDS (PostgreSQL, MySQL, or SQL Server backends), ensuring seamless data ingestion into downstream analytical platforms.
Governance & Compliance: Establish strict data classification, access controls, and auditing workflows to safeguard Protected Health Information (PHI) under HIPAA regulations and healthcare interoperability standards (e.g., HL7, FHIR, X12).
Healthcare Domain Expertise: Proven experience working extensively with Healthcare Payer (claims, premiums, billing, enrollment) and Provider (credentials, network directory, clinic locations) ecosystems.
Data Modeling Mastery: Mastery of traditional relational modeling (3NF) alongside analytical strategies such as Dimensional Modeling (Star/Snowflake Schema), Data Vault, and Medallion Lakehouse patterns.
Cloud Warehouse Expert 3+ years of dedicated hands-on architecture experience specifically using Snowflake Cloud Data Platform.
Relational Database Management Deep technical fluency managing production relational databases via AWS RDS (PostgreSQL, MySQL, or SQL Server backends).
Tooling & Infrastructure Experience with data modeling tools (e.g., Erwin, ER/Studio), standard ETL pipelines (dbt or Informatica), and standard CI/CD
Work arrangement
No
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