Remote || Data bricks Architect (Healthcare Domain)

Job Description

Position: Databricks Architect (Healthcare Domain)

Location: Remote

Required Skills & Experience

• 15+ years of overall experience in Data Engineering, Data Architecture, Data Warehousing, Analytics, or Business Intelligence.
• Strong hands-on experience with AWS cloud services and enterprise-scale Databricks implementations.
• Proven experience serving as a Lead Architect or Principal Architect for enterprise data platform initiatives.
• Advanced expertise in Python, PySpark, Spark SQL, Apache Spark, Delta Lake, and distributed data processing.
• Deep hands-on experience with Databricks Architecture, Unity Catalog, Delta Live Tables (DLT), Databricks Workflows, Databricks Asset Bundles, and cluster optimization.
• Proven experience designing and implementing enterprise-scale data pipelines and metadata-driven frameworks.
• Extensive expertise in ETL/ELT architecture, orchestration, optimization, and data platform operations.
• Strong knowledge of Lakehouse Architecture and Medallion Framework (Bronze, Silver, Gold).
• Experience designing dimensional models, enterprise data warehouses, semantic layers, and analytical solutions.
• Experience with batch processing, streaming, incremental loads, CDC, and real-time data processing frameworks.
• Strong understanding of data quality, governance, lineage, reconciliation, metadata management, and platform observability.
• Hands-on experience with CI/CD pipelines, source control, Infrastructure as Code, and automated deployments.
• Strong experience architecting large-scale healthcare data platforms involving: Claims Data, Clinical Data, EMR/EHR Systems, Patient Data, Provider Data, Member Data.
• Knowledge of healthcare interoperability standards and regulations including: HL7, FHIR, ICD-10, CPT, HIPAA.
• Experience implementing enterprise data governance, MDM, data cataloging, and security frameworks.
• Strong understanding of data security, privacy, encryption, role-based access controls, and PHI protection.
• Experience migrating legacy data warehouses and ETL platforms to AWS and Databricks Lakehouse environments.
• Excellent communication, stakeholder management, presentation, and customer-facing consulting skills.
• Experience leading and mentoring cross-functional Data Engineering teams.
• Ability to own architecture decisions from project initiation through deployment and production support.
• Willingness and ability to work onsite and engage directly with business stakeholders.