Description

You will define and govern Azure-based data architecture, supporting ETL modernization, analytics, and reporting while partnering with Data Engineering, BI, and Data Science teams.

This role is on-site.

Responsibilities

• Translate business requirements into scalable data architecture designs in collaboration with Solution and Enterprise Architects.
• Define end-to-end data architecture covering ingestion, storage, processing, analytics, and reporting.
• Provide architectural oversight for ETL/ELT solutions using Azure Data Factory, Databricks, Informatica, and SSIS.
• Guide ETL automation, monitoring, and DevOps/DataOps best practices for implementation by engineers.
• Define and govern analytics and reporting architecture using Power BI, SSRS, and enterprise data models.

Required Skills

• 12+ years in data engineering or data platform roles with clear architecture responsibility.
• Strong experience with Azure data technologies: ADF, ADLS, Synapse, and Azure SQL.
• Solid understanding of ETL/ELT, data modeling, and data warehousing principles.
• Proficiency in SQL and architectural familiarity with Python.
• Experience with Power BI and exposure to SSIS/SSRS.
• Ensure data security, governance, and PHI compliance across platforms.

Preferred Skills

• Healthcare (Payer/Provider) domain experience.
• Exposure to AI/ML enablement, including data preparation and ML-ready architectures.
• Snowflake or lakehouse architecture experience.

Key Skills

Education

Any Graduate