Member of Technical Staff, Data Platform (AI)

Location: Hybrid in San Mateo, United States

Salary: $220K–$300K annually

Company

Fireworks AI provides infrastructure for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Design and maintain scalable data infrastructure, warehouse systems, and data platform frameworks.
• Ensure warehouse performance, scalability, query efficiency, and cost control.
• Operate reliable data ingestion and ETL orchestration and contribute to scalable data architecture.
• Manage access controls, data quality, governance, and compliance workflows, including PII classification, retention, and deletion requests under GDPR and CCPA.
• Respond to production incidents, conduct postmortems, and implement reliability improvements.

Requirements

• 5+ years of experience in data platform or data infrastructure engineering.
• Experience administering cloud data warehouses at scale, including performance tuning and cost management.
• Production experience operating ETL orchestration or transformation frameworks such as Airflow, Coalesce, dbt, or similar.
• Proficiency in Python or a similar language for data tooling and automation.
• Experience with Terraform or other infrastructure-as-code tools.
• Experience participating in on-call rotations for data systems and responding to production incidents.

Nice to have

• Experience with GCP services such as BigQuery, IAM, and GCS.
• Experience managing data quality or observability tools such as Bigeye, Monte Carlo, or Great Expectations.
• Experience designing access controls, data catalogs, and data lineage services.
• Experience implementing GDPR/CCPA compliance in data systems, including PII tagging, retention policies, and deletion workflows.

Culture & Benefits

• Work on challenging AI infrastructure problems involving low-latency inference and scalable model serving.
• Collaborate with engineers and AI researchers in a fast-growing, ownership-oriented environment.
• Work with emerging technologies that support enterprise AI adoption.
• Inclusive equal-opportunity workplace committed to diversity.