Data Architect

About the role

This full‑time position (40 hours/week) is initially offered as a six‑month contract with the possibility of extension into a longer‑term engagement. The Data Architect will report directly to the CTO and will lead the design and modernization of the company’s data platform.

Key responsibilities

• Diagnose complex data problems and create a defensible long‑term plan.
• Design 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 with explicit trade‑off analysis.
• Drive 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‑based debate and collaborative problem‑solving.

Required profile

• 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 legacy or under‑schematized environments to modern frameworks.
• Experience designing cloud‑native data architectures, preferably on AWS.
• Experience defining data retention, lifecycle, backup, and disaster‑recovery strategies.
• Ability to defend technical proposals with evidence and operate in ambiguous environments.
• Strong spoken and written English communication skills.

Required skills

• SQL
• NoSQL
• Data modeling
• Schema design
• Data governance
• Event‑driven architecture
• Streaming architecture
• Message queues
• AWS
• Data retention strategies
• Backup
• Disaster recovery