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Director, Data Platform at Foodsmart. Location Information: United States. Foodsmart is the largest telehealth network of registered dietitians in the country with a mission to make eating well simple.. Take end-to-end ownership of the data lifecycle, managing everything from pipeline orchestration and our dbt project to the warehouse infrastructure, ensuring peak performance and reliability.. Instill a 'Data-as-a-Product' philosophy across the organization, treating internal teams as customers by defining rigorous SLAs for data quality, freshness, and accessibility.. Establish proactive data observability and contracts, shifting the culture from reactive troubleshooting to a disciplined system that identifies regressions before they impact downstream stakeholders.. Translate ambiguous business needs into concrete technical roadmaps, leading discovery with cross-functional partners to turn recurring pain points into scalable architectural solutions.. Direct the evolution of our foundational models, applying expert-level dimensional modeling and star schema designs to ensure the platform scales with our AI and analytics footprint.. Serve as a strategic partner to Analytics & Data Science, co-architecting the semantic and context layers to establish the standards they build upon.. Maintain a documented, transparent boundary between our core product systems and the analytics environment to ensure clarity of ownership.. Mentor and scale a high-performing, distributed data engineering team comprising domestic and offshore talent.. Delegate with strategic intent, focusing on expanding platform capacity through the team's technical growth rather than your own individual keyboard output.. Drive technical excellence and architectural discipline through rigorous design reviews, RFCs, and code audits.. Act as the technical counterpart to the Analytics & Data Science leadership, ensuring platform investments align with the company's long-term trajectory.. Conduct standing roadmap reviews with key stakeholders to prioritize effectively, unblock initiatives, and ensure capacity allocation is transparent.. Collaborate with cross-functional pods to ensure data requirements are integrated into the problem definition phase, creating durable rather than isolated solutions.. Prioritize fixing classes of problems over instances, building permanent platform capabilities that solve recurring stakeholder challenges.. Direct the data infrastructure supporting revenue cycle management and billing, ensuring the pipelines powering Finance remain flawless.. Manage the integrations and models for our member lifecycle systems, guaranteeing that engagement and attribution data remain consistent across the warehouse.. Build resilience into vital business reporting through sophisticated automation, comprehensive documentation, and a culture of shared accountability.. Lead the platform's HIPAA compliance efforts, architecting the controls for PHI access, deidentification, and audit readiness in partnership with Security.. Foster an AI-first engineering culture where tools like Claude Code serve as genuine force multipliers for refactoring and documenting infrastructure.. Establish the governance standards and safety guardrails required for the responsible application of AI within our engineering workflows.. Design the underlying context layer for our AI-powered analytics tools, ensuring generated insights are accurate and dependable by construction.. Over a decade of expertise in data engineering or platform domains, with at least 4 years dedicated to leading and scaling high-performing teams.. Demonstrated hands-on mastery of modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and sophisticated orchestration frameworks like Dagster or Airflow.. Expert-level dbt proficiency, encompassing large-scale project architecture, semantic layer implementation, and seamless integration with BI tools such as Looker or Omni.. Advanced command of dimensional modeling at scale, supported by expert SQL abilities and strong Python engineering skills.. A deep commitment to Data Reliability Engineering (DRE), with a proven history of architecting CI/CD pipelines and automated quality testing within dbt ecosystems.. The ability to influence without authority, successfully driving the adoption of architectural standards and new tooling across cross-functional engineering pods.. Experience serving as a strategic technical peer to Analytics and Data Science teams, functioning as an architectural partner rather than a support service.. A successful background in managing distributed engineering talent, including domestic and offshore collaborators.. Professional fluency in HIPAA regulations and experience architecting infrastructure for sensitive healthcare data, including claims, eligibility, and clinical records.. Operational experience with AI-native development tools like Cursor or Claude Code, utilizing them as force multipliers in production workflows.. Pay range:. $200K - $225K. Remote-First Culture — Work from anywhere with a flexible schedule.. Unlimited PTO — We prioritize rest and recharging.. Comprehensive Healthcare — Robust medical, dental, and vision coverage.. Financial Wellness — 401k, performance bonuses, and equity options.. Personalized Nutrition — Access to our network of Registered Dietitians.