Data Architect
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Job description
We are seeking a seasoned Data Architect with strong expertise in the Healthcare Payer/Provider domain to design and govern enterprise data architectures. The role spans Enrollment, Claims, Eligibility, Payments, Provider, and Member data models. Candidates must bring hands-on experience with modern platforms (Snowflake, Data Lakes, RDBMS) and the ability to drive enterprise-wide integration and transformation initiatives., * Design and implement scalable enterprise data architectures supporting healthcare payer and provider operations.
- Develop and maintain conceptual, logical, and physical data models across multiple healthcare business domains.
- Define and manage data mappings, lineage, and integrations across systems such as: Enrollment, Claims Processing, Eligibility, Payments, Provider Management, Member Data
- Architect data solutions leveraging Snowflake, Data Lakes, and relational databases.
- Collaborate with business stakeholders, product owners, data engineers, and application teams to define data strategies and standards.
- Establish and enforce data governance, data quality, metadata management, and master data management practices.
- Support cloud-based data modernization initiatives and enterprise analytics platforms.
- Ensure scalability, performance, security, and compliance of enterprise data solutions
Requirements
Do you have experience in Systems integration?, * 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Management.
- Strong Healthcare Payer and/or Provider domain expertise.
- Proven experience working with healthcare datasets including Claims, Enrollment, Eligibility, Payments, and Provider data.
- Expertise in Data Modeling (Conceptual, Logical, and Physical).
Strong experience with:
- Snowflake, Data Lakes (Azure Data Lake, AWS S3, or equivalent), Relational DB, ELT and Data Integration frameworks
- Deep understanding of data governance, data quality, metadata management, and data lineage.
- Experience designing cloud-native data platforms and modern data architectures.
- Strong communication and stakeholder management skills.
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