Job description

As a Data Architect / Delivery Lead you will design, build, and manage Azure-based data engineering solutions for healthcare clients, while leading end-to-end delivery, ensuring data quality, governance, and alignment with business requirements. Required: • 10–15+ years of experience in Data Engineering (hands-on delivery roles) • Experience in Healthcare Payer / Medicaid domain with knowledge of Claims, Member, Provider, Eligibility data and HIPAA/PHI compliance • Strong Azure-first cloud experience (architecture, implementation, operations) • Hands-on expertise in Azure services: ADLS Gen2, Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Azure SQL / SQL Server, Azure Key Vault, Azure DevOps (Repos, Pipelines, Boards) • Strong programming skills in SQL (advanced querying, optimization), Python, PySpark • Experience building ETL / ELT pipelines and working with batch & streaming data processing • Strong data modeling experience: conceptual, logical, physical, dimensional (star/snowflake), SCDs, historized data • Knowledge of Data Lake / Lakehouse architectures, CDC, and incremental data processing • Ability to review and optimize data models, transformations, and schema evolution • Experience implementing data governance across Dev/Test/Prod environments • Exposure to CI/CD pipelines and DevOps practices • Experience with AI-assisted / Agentic development, including task breakdown, architecture definition, guardrails, and governance • Understanding of AI-assisted SDLC, security, compliance, auditability, and traceability.

Requirements

Must-haves

10–15+ years of experience in Data Engineering (hands-on delivery roles)
Experience in Healthcare Payer / Medicaid domain with knowledge of Claims, Member, Provider, Eligibility data and HIPAA/PHI compliance
Strong Azure-first cloud experience (architecture, implementation, operations)
Hands-on expertise in Azure services: ADLS Gen2, Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Azure SQL / SQL Server, Azure Key Vault, Azure DevOps (Repos, Pipelines, Boards)
Strong programming skills in SQL (advanced querying, optimization), Python, PySpark
Experience building ETL / ELT pipelines and working with batch & streaming data processing
Strong data modeling experience: conceptual, logical, physical, dimensional (star/snowflake), SCDs, historized data
Knowledge of Data Lake / Lakehouse architectures, CDC, and incremental data processing
Ability to review and optimize data models, transformations, and schema evolution
Experience implementing data governance across Dev/Test/Prod environments
Exposure to CI/CD pipelines and DevOps practices
Experience with AI-assisted / Agentic development, including task breakdown, architecture definition, guardrails, and governance
Understanding of AI-assisted SDLC, security, compliance, auditability, and traceability.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuresqlpythonci/cdai

Platform: jobdiva
Effort: medium