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