Member of Technical Staff, Data Platform

Fireworks • San Mateo, CA

1d • $220,000 - $300,000

About The Position

Fireworks is hiring a Member of Technical Staff, Data Platform to design and maintain scalable data infrastructure and frameworks that support the data team. The role is part of the team responsible for the data warehouse, ETL orchestrator, data governance, data compliance, and data quality framework. The successful candidate will enable domain-specific data engineers to build pipelines for business teams and help business users access and leverage company data effectively.

The position focuses on warehouse scalability, query performance, cost management, data architecture, reliable ingestion and ETL orchestration, access controls, data quality, and privacy compliance. It also includes responding to production incidents, conducting postmortems, and identifying improvements that support reliable operations.

Requirements

• 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, such as Airflow, Coalesce, or dbt.
• 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.

Nice To Haves

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

Responsibilities

• Ensure the data warehouse scales, queries perform well, and costs remain controlled.
• Contribute to data architecture principles and keep the data model organized as it scales.
• Ensure data ingestion and ETL orchestration operate reliably and efficiently.
• Manage access controls to balance least-permissions policies with business growth.
• Maintain a data quality framework that protects the accuracy of critical business data.
• Ensure the data platform complies with privacy regulations such as GDPR and CCPA, including PII classification, data retention, and data subject deletion requests.
• Resolve production-impacting incidents efficiently, conduct postmortems, and identify improvements to ensure reliable operations.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed