We're looking for a hybrid Data Architect who goes beyond traditional data acquisition to be equal parts hands-on builder and trusted strategic advisor. You'll be embedded in a high-velocity GenAI application delivery engagement, owning the data architecture layer from design through to production — while also serving as the connective tissue between our delivery team and the client's data and engineering stakeholders.
Requirements
- Senior Data Architecture Experience: 10+ years across data engineering, architecture, or a closely related discipline.
- Modern Data Platform Fluency: Deep familiarity with lakehouse architectures, with hands-on Snowflake experience strongly preferred.
- GenAI Context: Experience working in or adjacent to AI/ML application development.
- Application Development Exposure: You have a strong understanding of the full application development lifecycle.
- Consulting & Stakeholder Acumen: Experience in a consulting or client-facing delivery environment.
- Builder Mentality: You're not just an advisor - you write code, build pipelines, and validate your own designs.
- AI-Ready Mindset: You embrace AI tooling as a force multiplier and are excited to operate at the intersection of modern data infrastructure and applied GenAI delivery.
Benefits
- Competitive salary with performance-based bonus
- PTO, holidays, and sabbatical program
- Health, dental, vision, and life insurance
- Retirement plan with company match from day one
- Learning and professional development support
- Small-firm culture with direct access to leadership