Member of Technical Staff, Data Platform

We are looking for a Member of Technical Staff, Data Platform to design and maintain the scalable data infrastructure and frameworks the rest of the data team builds on. You will be part of the team that owns our warehouse, ETL orchestrator, data governance, data compliance and data quality framework. You will ensure that domain-specific data engineers can build the pipelines our business teams need, and that every business user can effectively access and leverage company data.

• Ensure the warehouse scales, queries are performant, and cost is under control.
• Contribute to data architecture principles, ensuring our data model stays organized as it scales up.
• Ensure data ingestion and ETL orchestration works reliably and efficiently.
• Manage access controls to balance least-permissions policies with the speed of the business growth.
• Ensure our data quality framework effectively protects the accuracy of critical data our business depends on.
• Ensure our data platform complies with privacy regulations such as GDPR and CCPA, including PII classification, data retention, and data subject deletion requests.
• Quickly and efficiently resolve any incidents impacting production, conduct postmortems, and identify improvements to ensure reliable operations.

• REQUIRED
• 5+ years in data platform or data infrastructure engineering.
• Experience administering a cloud data warehouse at scale, including performance tuning and cost management.
• Experience operating ETL orchestration or transformation frameworks in production (Airflow, Coalesce, dbt or similar).
• Proficiency in Python (or a similar language) for building data tooling and automation.
• Experience with Terraform or other infrastructure as code.
• Experience being on-call for data systems and responding to production incidents.
• PREFERRED
• Experience with GCP services including BigQuery, IAM, GCS, etc.
• Experience managing a data quality or observability tool (e.g. Bigeye, Monte Carlo, Great Expectations).
• Experience designing access controls, data catalog and data lineage services.
• Experience implementing GDPR/CCPA compliance in data systems (e.g. PII tagging, retention policies, deletion workflows).

WHY FIREWORKS?

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
• Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
• Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
• Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.