Staff Data Systems Architect - MyFitnessPal

At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals. We are looking for a Staff Data Systems Architect to join the MyFitnessPal Data Engineering team. Our users rely on MyFitnessPal to power their health and fitness journeys every day.

What you'll be doing:

• Own the end-to-end systems design of the MyFitnessPal product data stack
• Develop, drive, and maintain the systems architecture roadmap for the product data stack
• Serve as the primary point of contact in Data Platform for the consolidated data stack, coordinating contributions from Data Engineering, Business Intelligence, Product Analytics, and backend engineering teams
• Define and enforce data movement and standardization discipline across the stack
• Lead architecture review of new tool decisions, vetting vendors against the existing stack, surfacing duplication, and collaborating on proof-of-value evaluations
• Contribute to the compliance architecture for user data, including PII tagging and a deletion/DSR policy by which every tool receiving user data is governed
• Administer access and licensing across the data stack, maintaining a single view of spend and access
• Document and evangelize architecture decisions, standards, and ownership models across the organization

Qualifications to be successful in this role:

• 8 - 12+ years in systems design, architecture, or engineering roles, including 3 - 5 years designing end-to-end data platform architecture at the architect / staff level
• Experience architecting the integrations of a modern customer data stack — product analytics, experimentation, attribution, and marketing activation tools (e.g. Amplitude, Eppo, Harness, AppsFlyer, Braze)
• Experience in Snowflake or similar cloud data platform, including performance tuning, cost optimization, and role-based access design
• Experience leading vendor evaluations, tool consolidations, or platform migrations
• Experience implementing data governance, security, and compliance frameworks, including PII handling and deletion/DSR workflows across multiple destinations
• Demonstrated experience defining architecture standards adopted across a team or organization, and enforcing them through automation rather than manual review
• Cost-conscious ownership of infrastructure and vendor spend, balancing performance and reliability against cost
• Proven ability to drive architecture decisions across teams and organizations

Preferred Qualifications:

• Experience deploying semantic layer and metrics layer best practices via dbt or similar tooling
• Experience with data cataloging/governance tools (e.g. Secoda, Snowflake Horizon) and metadata stewardship programs
• Experience in high velocity experimentation organizations, including exposure/assignment pipelines and experiment metric governance
• Advanced SQL knowledge and experience
• Experience working in consumer-facing subscription app environments, with an understanding of acquisition, retention, and engagement metrics
• Experience making governed data safely available to AI assistants and agents — AI-ready data models, agent context, and guardrailed access patterns

Values you’ll model

• Be Kind and Care — build with empathy; assume positive intent; support teammates and members.
• Live Good Health — champion healthy habits and balance in how we work and what we ship.
• Be Data-Inspired — ground decisions in research and data; measure what matters.
• Champion Change — lean into ambiguity; iterate, learn, and improve continuously.
• Leave it Better than You Found It — raise quality, clarify systems, and document as you go.
• Make It Happen — bias to action; deliver impact with craft and accountability.