Senior Data Platform Engineer

PushPress

About The Position

PushPress is hiring its first Data Platform Engineer to build and own the foundation for data-driven products, reporting, AI features, and internal analytics serving more than 5,000 gyms. The role covers how data is ingested, stored, governed, accessed, monitored, and made trustworthy for both employees and AI agents. The engineer will design the platform and support the teams building on it, working closely with Data Engineering, Analytics, and the broader R&D team. The position will improve the freshness, speed, accuracy, traceability, and availability of reporting; combine product, payment, and third-party data to show the customer journey; and partner with Engineering to ensure new features and integrations create reliable data. It will also establish clear ownership of data flows and costs, implement privacy and security controls, support routine privacy requests without compromising financial reporting or audits, and provide governed context and definitions for AI products and internal AI-assisted analysis.

Requirements

At least 5 years of experience in data engineering, data platform, data infrastructure, or software engineering, including end-to-end ownership of production infrastructure.
Experience with a cloud data warehouse at scale, including performance tuning, cost management, access controls such as RBAC and masking, and schema design.
Strong Python and SQL skills.
Sound software engineering practices, including testing, CI/CD, code review, and infrastructure as code such as Terraform.
Hands-on experience initiating, maintaining, and operating an orchestrator such as Airflow or Dagster in production.
Experience with managed ingestion tools such as Hevo or Fivetran, plus custom pipelines where needed, including at least one of CDC, streaming, or event-driven data.
Experience building data quality checks and alerting, using tools such as Monte Carlo or Elementary or custom solutions, with a runbook others can follow.
Daily use of AI, including at least one workflow others rely on and a check that detects when it is wrong.
Ability to investigate messy data and identify upstream changes.
Ability to explain tradeoffs plainly and communicate when a solution is not yet appropriate.
Curiosity about the gyms and members represented in the data.

Nice To Haves

Experience at a B2B SaaS or payments company.
Experience with a real-time analytics database such as ClickHouse and an understanding of when to use it instead of a warehouse.
Experience with privacy and governance requirements under GDPR, CCPA, or PCI, including access, auditing, retention, and deletion.
Experience working in TypeScript codebases alongside product engineers.
Interest in data for AI, including semantic layers, retrieval, evaluations, and governed agent access to data.
Interest in data contracts with teams that produce data.
Interest in event platforms or CDPs such as Segment, RudderStack, Snowplow, or PostHog, and identity resolution across product, billing, and CRM data.

Responsibilities

Build and own the data platform foundation, including data ingestion, storage, governance, extraction, monitoring, and trust controls.
Make reporting for gym owners fresh, fast, and accurate so they can make timely business decisions.
Ensure company metrics, including those reported to the Board, can be traced to their sources.
Set freshness and uptime standards, participate in incident response, and address root causes.
Combine product, payment, and third-party data to provide a view of gyms' and members' customer journeys.
Partner with Engineering to ensure new features and integrations produce clean, well-structured data and to detect breaking changes before release.
Simplify data movement by reducing unnecessary paths and tools, establishing clear ownership, and monitoring costs.
Protect gym and member data through access controls, person- and AI-agent access records, and safeguards that AI systems cannot change.
Make privacy requests routine while preserving financial reporting and audit requirements.
Provide context for PushPress AI products, including AI Assistant, AI Member Intel, and AI reporting.
Make business definitions understandable to people and AI so metrics are consistent across dashboards, chat, and Board materials.
Enable teams to answer questions through AI safely, with clear limits on cost and access.
Maintain documentation, runbooks, and alerts as part of ongoing platform improvement.