Senior Data Engineer​/Data Architect – Automation-Led Modernization

We are looking for a Senior Data Engineer / Data Architect to lead automation-led modernization of legacy data and reporting platforms at scale.

This role drives operational automation, repeatable architecture, and AI-assisted tooling, eliminating manual work and accelerating delivery across multiple environments. A core focus is leading the migration of data pipelines and integrations from Informatica to Databricks, while building scalable, repeatable patterns used across states and teams.

This is a hands-on, senior role with ownership across architecture, design, and execution.

• Assess legacy data and reporting workloads to identify where automation replaces manual effort.
• Lead the migration of Informatica-based data workloads to Databricks, ensuring performance, reliability, and data integrity
• Design and execute an automation-first modernization strategy for data pipelines, reporting systems, and analytics platforms.
• Apply tool-assisted and AI-assisted techniques to accelerate modernization while maintaining compliance and control.
• Build repeatable frameworks and patterns for:
  Data ingestion, transformation, and orchestration;
  Reporting and analytics modernization;
  Data validation, reconciliation, and quality controls.
• Establish governance to ensure modernization efforts are consistent, auditable, and scalable.
• Partner with distributed data teams to deploy and scale modernization patterns across environments.
• Provide hands-on technical leadership while remaining engaged in execution.

• 10+ years in data engineering and/or data architecture.
• Proven track record of modernizing large-scale, complex, legacy data and reporting environments.
• Hands-on experience migrating or modernizing Informatica-based data pipelines to modern platforms such as 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.