Senior Data Platform Engineer

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform Engineer based in the United States.

Join a growing technology team building the data foundation behind an AI-powered platform serving thousands of boutique fitness businesses. As the first Data Platform Engineer, you will take ownership of the infrastructure that collects, organizes, governs, and delivers trusted data across products and internal teams. You will help make reporting faster and more reliable while ensuring that business metrics remain consistent, traceable, and secure. Working closely with Data, Analytics, and R&D teams, you will shape the architecture supporting customer insights, operational intelligence, and AI-powered experiences. You will also establish the foundations that allow employees and AI agents to access reliable information independently and responsibly. This is an opportunity to define a critical platform from the ground up and influence how data creates value across an expanding SaaS ecosystem.

Accountabilities You will own the design, development, and continuous improvement of the data platform, ensuring that it delivers accurate, accessible, secure, and cost-effective information for both people and AI-driven applications.

Data Platform Reliability and Performance

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Build and maintain the data infrastructure supporting reporting and data-driven products used by more than 5,000 gyms.

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Ensure reporting data is fresh, accurate, and performant, enabling gym owners to make timely business decisions.

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Establish data lineage and traceability so that key business metrics, including executive and Board-level reporting, can be tracked back to their sources.

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Define and monitor data freshness, availability, and reliability standards.

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Participate in incident response, investigate root causes, and implement improvements to prevent recurring issues.

Data Integration and Architecture

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Integrate product, payment, and third-party data to create a comprehensive view of customer and member journeys.

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Partner with software engineering teams to ensure new features and integrations generate clean, structured, and reliable data from the outset.

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Establish data contracts and identify breaking changes before they reach production.

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Simplify data architecture by reducing unnecessary pipelines and tools, clarifying ownership, and improving cost visibility.

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Manage and optimize ingestion workflows, orchestration systems, and custom data pipelines.

Privacy, Security, and Governance

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Design and implement data access controls that define what employees and AI agents can access.

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