Description

Key Responsibilities

• Collaborate with Solution & Enterprise Architects to translate business requirements into scalable data architecture designs.

• Define end to end data architecture across ingestion, storage, processing, analytics, and reporting.

• Provide architectural oversight for ETL/ELT solutions using Azure Data Factory, Databricks, Informatica, SSIS.

• Guide ETL automation, monitoring, and DevOps/DataOps best practices (implementation by engineers).

• Define and govern analytics & reporting architecture using Power BI, SSRS, and enterprise data models.

• Ensure data security, governance, and PHI compliance across platforms.

• Partner with Analytics, Reporting, Data Science, and ML teams to enable downstream use cases.

• Participate in Agile delivery and provide architecture input during planning and design phases.

Required Skills

• 12+ years in data engineering / data platform roles with architecture responsibility

• Strong experience with Azure data technologies (ADF, ADLS, Synapse, Azure SQL)

• Solid understanding of ETL/ELT, data modeling, and data warehousing

• Experience with Power BI, exposure to SSIS / SSRS

• Proficiency in SQL and architectural familiarity with Python

• Healthcare (Payer / Provider) experience preferred

Nice to Have

• Exposure to AI/ML enablement (data preparation, ML-ready architectures)

• Snowflake or lakehouse architecture experience

Key Skills

Education

Any Gradute