Data Architect

This is a full-time role (40 hours/week) for a 6-month contract, with the possibility of extending for a long-term contract
Diagnose the underlying causes of complex data problems and drive a defensible long-term plan
Design the target-state data architecture across legacy and modern platforms, including migration sequencing and rollout
Define schema strategy, event-driven patterns, and scalable data lifecycle policies
Build an actionable data roadmap for resolving core data issues with explicit tradeoff analysis
Drive a measurable reduction in data inconsistencies introduced by new feature development
Establish architecture standards, review practices, and documentation to preserve institutional knowledge
Act as subject matter expert on enterprise architecture questions where data meets product strategy
Partner with Engineering, Product, and Enterprise Architecture leadership to align data architecture with platform goals
Build technical trust with engineering and product leadership through evidence, technical debate, and collaborative problem-solving

8+ years of data architecture experience
Deep expertise in target-state architectural design
Proficiency with relational (SQL) and NoSQL data modeling, schema design, and data governance
Experience with event-driven and streaming architectures (e.g. event buses, message queues)
Experience migrating messy, legacy, or under-schematized environments toward modern frameworks
Experience designing cloud-native data architectures (e.g. AWS)
Experience defining data retention, lifecycle, backup, and disaster recovery (DR) strategies
Ability to defend technical proposals with evidence and operate in ambiguous environments
Strong communication skills in both spoken and written English

Startup experience
Experience in Healthcare, EMR/EHR, Health-Tech, or HIPAA-regulated environments
Experience standing up a data or platform architecture function from the ground up
Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

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