Director, Data Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Assume complete responsibility for the entire data lifecycle, encompassing pipeline orchestration, dbt, warehouse infrastructure, and foundational models.

• Establish data quality, freshness, and accessibility SLAs while creating proactive observability and data contracts.

• Convert business requirements into technical roadmaps and scalable architectural solutions.

• Lead efforts in dimensional modeling, star schema design, semantic layers, and foundational data models.

• Collaborate strategically with Analytics & Data Science teams on data architecture and standards.

• Maintain clear documentation delineating the boundary between core product systems and analytics engineering.

• Guide and expand a distributed team of domestic and offshore data engineers.

• Promote technical excellence through design reviews, RFCs, code audits, and architectural discipline.

• Conduct roadmap evaluations and synchronize platform capacity with business objectives.

• Oversee data infrastructure for revenue cycle management, billing, member lifecycle, and financial reporting.

• Spearhead HIPAA compliance initiatives, including PHI access controls, deidentification, and audit preparedness.

• Encourage AI-native engineering methodologies and implement responsible AI governance and safety measures.

• Develop the context layer for AI-driven analytics tools.

⛳️ Requirements

• More than ten years of experience in data engineering or platform domains.

• Minimum of four years of experience leading and scaling high-performing teams.

• Proficient hands-on experience with Snowflake, BigQuery, or Redshift.

• Familiarity with Dagster or Airflow.

• Expert-level skills in dbt, including large-scale architecture and semantic layer implementation.

• Experience integrating dbt with BI tools like Looker or Omni.

• Advanced skills in dimensional modeling at scale.

• Strong SQL and proficient Python engineering capabilities.

• Experience in architecting CI/CD pipelines and conducting automated quality testing within dbt ecosystems.

• Ability to influence stakeholders and promote the adoption of standards and tools without direct authority.

• Previous experience collaborating strategically with Analytics and Data Science teams.

• Experience in managing distributed domestic and offshore engineering teams.

• Professional understanding of HIPAA regulations and experience handling sensitive healthcare data, including claims, eligibility, and clinical records.

• Experience utilizing Cursor or Claude Code in production workflows.

🏝️ Benefits

• 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.