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Data Lead Architect Healthcare Data Lakehouse & EDW

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Metalight Solutions Inc

Baltimore, MD (In Person)

Full-Time

Posted 6 days ago (Updated 4 days ago) • Actively hiring

Expires 6/21/2026

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Job Description

Job Title:
Data Lead Architect Healthcare Data Lakehouse & EDW Location:
Baltimore, MD (On-Site, with hybrid model) Job Description We are seeking a highly experienced Data Lead Architect with deep expertise in Healthcare Data Architecture, Enterprise Data Warehousing (EDW), Cloud Data Lakes, and Modern Data Engineering . The ideal candidate will lead the design and implementation of scalable healthcare data platforms using AWS cloud technologies , Medallion Architecture, Dimensional Data Modeling, and healthcare interoperability standards including EDI X12, HL7, and FHIR . The selected candidate will play a key leadership role in modernizing legacy healthcare systems into cloud-native data ecosystems while ensuring
HIPAA/CMS
compliance, governance, scalability, and enterprise interoperability. Key Responsibilities Lead and mentor a team of Data Engineers and ETL developers. Architect and implement enterprise-scale Data Lakehouse solutions using
Medallion Architecture :
Bronze Layer (Raw Data) Silver Layer (Cleansed/Validated Data) Gold Layer (Business Aggregates) Design and develop cloud-based Enterprise Data Warehouse (EDW) solutions on AWS. Build scalable OLAP solutions using Apache Iceberg or Delta Lake . Design and optimize Star Schema and Snowflake Schema dimensional data models.
Develop high-performance ETL/ELT pipelines using:
AWS Glue Apache Spark / PySpark Databricks Apache Airflow Work extensively with AWS services: S3 Redshift Athena EMR Glue HealthLake Lake Formation Integrate and process healthcare transaction data: EDI X12 (837, 835, 278)
HL7 FHIR
APIs/resources Implement data governance, lineage, access controls, encryption, and auditing for
HIPAA/CMS
compliance. Lead legacy-to-modern data migration and interoperability initiatives. Collaborate with business, analytics, and engineering teams to define enterprise data strategy. Drive CI/CD automation and Infrastructure-as-Code practices in data engineering workflows. Required Qualifications Education Bachelor s Degree in Computer Science, Engineering, Mathematics, or related field. Master s Degree preferred. Experience 10+ years of overall IT architecture/design experience. 7+ years in: Data Engineering ETL Development Cloud Data Architecture 2+ years leading technical/data engineering teams. 5+ years managing large-scale enterprise implementations. Strong healthcare domain experience is mandatory. Required Technical Skills Cloud & Data Platforms AWS (Glue, Redshift, Athena, EMR, S3, HealthLake, Lake Formation) Databricks Apache Spark / PySpark Apache Airflow Data Architecture Enterprise Data Warehouse (EDW) Data Lake / Lakehouse Medallion Architecture Dimensional Modeling Star Schema / Snowflake Schema Data Governance & Lineage Healthcare Data Standards EDI X12 (837, 835, 278)
HL7 FHIR
Programming SQL Python Scala (preferred) Compliance & Security
HIPAA CMS
interoperability standards Data security and encryption

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