Data Engineer – 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.

Responsibilities

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.

Required Experience 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.

Preferred Experience Experience in 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.