Senior Data Engineer / Data Architect

📋 Description

• Assess legacy data and reporting workloads to identify automation opportunities.
• Migrate Informatica data workloads to Databricks, ensuring performance and data integrity.
• Design and execute an automation-first modernization for data pipelines, reporting, analytics.
• Apply tool-assisted and AI-assisted techniques to accelerate modernization while ensuring compliance.
• Build repeatable frameworks for data ingestion, transformation, and orchestration.
• Establish governance to ensure modernization efforts are consistent, auditable, and scalable.
• Partner with distributed data teams to deploy patterns across environments.
• Provide hands-on technical leadership while executing.

🎯 Requirements

• 10+ years in data engineering and/or data architecture.
• Proven track record modernizing large-scale legacy data and reporting environments.
• Hands-on experience migrating Informatica data pipelines to Databricks.
• Demonstrated use of automation frameworks, accelerators, or AI-assisted tools to compress delivery timelines.
• Hands-on experience with Azure, Cloudera, and Power BI.
• Strong experience designing and operating ETL/ELT pipelines and analytics layers.
• Deep understanding of data quality, lineage, reconciliation, and validation frameworks.
• Experience working in large-scale or regulated enterprise environments.
• Experience in payer, healthcare, or other regulated domains.
• Experience designing solutions that support multi-environment scalability.
• Exposure to GenAI tooling for code generation and automation.
• Experience as a technical thought leader for new platform initiatives.