Data Architect - Target-state Architectural Design, NoSQL, SQL
IT, Design
Barbados · Mexico · Dominica · Dominican Republic · Haiti · Jamaica · South America · Central America · Cuba · Antigua and Barbuda · The Bahamas · Belize · Guyana · Grenada · St Kitts & Nevis · St Vincent and the Grenadines · Suriname · St Lucia · Trinidad and Tobago · Remote
Posted on Sep 12, 2026
Requirements
Must-haves
- 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
What makes you stand out
- Prior experience building or standing up a dedicated data/platform architecture function from scratch.
- The person will report to the CTO, so executive presence and communication skills are required
- Someone who is forward-thinking: they are modernizing a decades-old technology stack while building the AI-native systems that will define the next generation of their product.
Nice-to-haves
- 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
What you will work on
- 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