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.

Responsibilities

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

Required Experience 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

Preferred Experience 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