Senior Data Platform Engineer
Core
Design, build, and maintain the data infrastructure that collects, organizes, governs, and delivers trusted data for an AI-powered platform serving boutique fitness businesses.
Role type
Senior Data Platform Engineer
Builds
Data foundation for reporting, operational intelligence, and AI-powered experiences for 5,000+ gyms
Domain
B2B SaaS / Fitness / Data Infrastructure
Deliverable
infrastructure
Required skills
Cloud data warehouses, Python, SQL, Terraform, Workflow orchestration (Airflow/Dagster), Data ingestion tools, Change data capture (CDC), Streaming, Event-driven architectures, Data quality monitoring
Preferred skills
B2B SaaS or payments environment, TypeScript, Real-time analytics databases (ClickHouse), Privacy frameworks (GDPR/CCPA/PCI), Event platforms (Segment/RudderStack/Snowplow/PostHog), Identity resolution, AI data architecture
Technologies
Python, SQL, Terraform, Airflow, Dagster, Hevo, Fivetran, ClickHouse, TypeScript, Segment, RudderStack, Snowplow, PostHog, Monte Carlo, Elementary
Responsibilities
Build and maintain data infrastructure for reporting and data-driven products; Integrate product, payment, and third-party data; Design data access controls and audit trails; Build data foundations for AI-powered assistants; Develop semantic layers and business definitions; Create operational runbooks and documentation
Seniority
Senior, hands-on IC