Senior Data Platform Architect

Role Description

The Senior Data Platform Architect is a highly hands-on, high-impact role centered on execution and technical leadership. You will be the technical leader, translating the technical direction and designs set by our leadership into deployed, highly functional data platforms. Your primary mission is to ensure our vision for enterprise data is realized efficiently and reliably in production.

• Move fluidly between high-level architecture and hands-on implementation, translating data platform strategy and roadmap into clear, actionable technical designs.
• Architect and implement scalable data solutions using AWS and Snowflake, including pipelines, storage layers, and data models, designed from the ground up to serve both human consumers and AI agents.
• Design, implement, and evolve a clean, consolidated core data platform architecture across AWS, Snowflake, dbt, and integrated systems.
• Define authoritative standards for data ingestion, transformation, data modeling, and pipeline development.
• Establish and enforce data quality standards, ensuring freshness, completeness, and reliability through validation, monitoring, and observability.
• Solve complex technical challenges with innovation and proactive problem-solving.
• Collaborate across Data, Product, Engineering, and Business teams to deliver aligned, high-impact solutions.
• Define and promote best practices for data modeling, pipeline design, and platform architecture.
• Ensure systems meet security, governance, and compliance requirements and are production-ready.
• Mentor and guide engineers on architecture, design decisions, and engineering best practices.

Qualifications

• 8+ years of experience in data engineering or data platform architecture.
• 5+ years of hands-on experience designing and evolving unified data platforms built on AWS and Snowflake.
• Experience in healthcare, ad tech, programmatic audiences, or related industries is a plus.
• Deep expertise across data ingestion, transformation, data modeling, and pipeline development.
• Strong command of performance tuning, query optimization, and the ability to define and enforce rigorous engineering standards.
• Experience implementing CI/CD practices for data pipelines and platform infrastructure.
• Understanding of data security, governance, and compliance principles as they apply to platform architecture.
• Demonstrated ability to translate data strategy into architectural designs and implementation plans.
• Strong communication and teamwork skills.
• A self-motivated, innovative mindset to proactively identify problems and drive outcomes.
• Experience with AI and LLM-based tooling in data platform use cases.
• AWS and Snowflake certifications are a strong advantage.

Requirements

• Annual base salary for positions at this level and job group is $156,000 - $170,000.
• Base pay will depend on qualifications, experience, skills, and competencies required for this job.

Benefits

• Medical, dental, and vision insurance.
• 401(k) plan.
• Professional development budget.
• Paid time off available to full-time employees upon hire.
• Time off for designated company-paid holidays, summer Fridays, Personal/Family Care, and other leaves of absence.

Company Description

Health Union powers the first and largest community-based activation and data platform, transforming healthcare by providing unparalleled support, information, and validation for millions navigating complex health conditions and their care teams.

• Over 125+ condition-specific online communities.
• 15 years of community leadership.
• Authentic engagements fuel the company’s robust suite of endemic media, influencer marketing, market research, and data solutions.