Senior Data Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the establishment of PushPress’s data-driven reporting and AI offerings.

• Guarantee that reporting data for over 5,000 gyms is up-to-date, rapid, precise, and reliable.

• Ensure that company metrics are traceable to their origins.

• Set benchmarks for data freshness and uptime, engage in incident response, and address root causes.

• Integrate product, payment, and third-party data throughout the customer journey.

• Collaborate with Engineering to deliver clean, well-organized data and identify breaking changes prior to release.

• Streamline data movement through fewer, well-defined tools and pathways while managing costs effectively.

• Safeguard gym and member data through access controls, audit trails, and protective measures for AI systems.

• Manage privacy requests without affecting financial reporting or audits.

• Offer context for AI Assistant, AI Member Intel, and AI reporting functionalities.

• Consistently define business metrics across dashboards, chat, and Board presentations.

• Empower teams to safely answer queries through AI with cost and access controls.

• Work closely with Data Engineering, Analytics, and the wider R&D team.

⛳️ Requirements

• Over 5 years of experience in data engineering, data platform, data infrastructure, or software engineering roles, managing production infrastructure from end to end, preferably in a B2B SaaS or payments environment.

• Proficient with a cloud warehouse at scale, including performance optimization, cost management, access controls (RBAC, masking), and schema design.

• Strong skills in Python and SQL.

• Robust software engineering practices, including testing, CI/CD, code reviews, and infrastructure as code such as Terraform.

• Practical experience in initiating, maintaining, and operating Airflow or Dagster in a production setting.

• Experience with ingestion tools such as Hevo or Fivetran and custom pipelines, including at least one of CDC, streaming, or event-driven architectures.

• Expertise in implementing data quality checks and alerts using Monte Carlo, Elementary, or similar tools, along with maintainable runbooks.

• Daily interaction with AI, including at least one workflow relied upon by others and a check to identify errors.

• Familiarity with a real-time analytics database like ClickHouse and understanding of when to utilize it instead of a warehouse.

• Knowledge of privacy and governance regulations under GDPR, CCPA, or PCI, including access, auditing, retention, and deletion protocols.

• Experience working within TypeScript codebases alongside product engineers.

• An inquisitive mindset regarding semantic layers, retrieval, evaluations, governed agent data access, data contracts, event platforms/CDPs, and identity resolution.

• Capability to analyze disorganized data, articulate trade-offs clearly, and maintain comprehensive documentation, runbooks, and alerts.

🏝️ Benefits

• Equity Incentive Plan.

• Flexible Paid Time Off (including Public Holidays).

• Health Care Plan (Medical, Dental & Vision).

• Retirement Plan (Company Sponsored 401k with Match).

• Life Insurance.

• Family Leave (Maternity, Paternity).

• Work From Home Stipend.

• Wellness Stipend.