About The Position

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. Reporting modernization is one workload among several; the broader mandate is to design and scale repeatable modernization patterns that can be applied consistently across multiple implementations. This is a senior, hands-on role with ownership across architecture and execution, suited for someone who brings clear thinking, structured problem-solving, and disciplined delivery to complex modernization efforts.

Requirements

  • 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

Nice To Haves

  • 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

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
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