Staff Data Systems Architect

• 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

• 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
• 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
• Experience deploying semantic layer and metrics layer best practices via dbt or similar tooling
• Experience with data cataloging/governance tools and metadata stewardship programs
• Advanced SQL knowledge and experience

Pay range: $160K - $220K

• Healthcare, including medical, dental, and vision benefits
• Parental planning and paid maternity/paternity leave
• Mental health benefits
• Annual performance bonus
• 401(k) plan and employer match
• Responsible time off
• Monthly wellness allowance
• Technology allowance
• Mentorship program
• Volunteer days off
• Recognition platform
• MyFitnessPal Premium access
• Virtual learning and development library
• Diverse and inclusive workplace initiatives