Description

Skills: Data Architect, ETL, SSIS/SSRS, SQL, Azure

Role Summary: Data Architect responsible for defining and governing Azure-based data architecture, supporting ETL modernization, analytics, and reporting, while working closely with Data Engineering, BI, and Data Science teams.

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 Graduate