Senior Data Architect - Automation-Led Data Modernization

We are seeking a Senior Data Architect to lead automation-driven modernization of data and reporting workloads in a highly regulated environment. This role focuses on reducing manual effort, accelerating delivery, and improving reliability through scalable architecture, automation, and AI-assisted tooling.

The scope spans legacy data pipelines, analytics platforms, and multi-instance data environments. The objective is to design and scale repeatable modernization patterns that reduce operational risk while enabling consistent delivery across multiple implementations.

This is a senior, hands-on role with ownership across architecture and execution. The ideal candidate will bring clear thinking, structured problem-solving, and disciplined delivery to complex modernization efforts.

• Assess existing data and reporting environments to identify opportunities where automation can replace manual work.
• Design and drive an automation-first data architecture that supports scalable modernization across multiple environments
• Define and implement repeatable patterns for modernizing legacy data pipelines, analytics workloads, and reporting systems
• Leverage AI-assisted and tool-based approaches to accelerate modernization while maintaining control and compliance
• Establish architectural guardrails to ensure modernization efforts are consistent, auditable, and reliable
• Partner closely with data engineering, platform, and delivery teams to translate architecture into executable solutions
• Stay actively involved in hands-on execution to validate designs and drive outcomes
• Provide clear technical direction and pragmatic decision-making throughout the modernization lifecycle

• 10+ years of experience in data engineering or data architecture
• A proven track record of modernizing complex, legacy data and reporting environments
• Demonstrated ability to reduce manual effort through automation, accelerators, or AI-assisted tooling
• Strong grounding in data architecture and analytics layers
• Experience designing and operating data pipelines and processing workflows
• Knowledge of data quality, validation, and reconciliation
• Experience owning both architectural design and hands-on execution
• Experience operating in large-scale or regulated environments, with attention to compliance, control, and risk

• Experience supporting payer or healthcare data environments
• Background working across multi-instance or multi-tenant data platforms
• Experience acting as a technical lead or thought partner on modernization initiatives