Senior Staff Data Platform Engineer

Fireworks AI, Inc.; San Mateo (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Fireworks AI, Inc. is seeking a Member of Technical Staff, Data Platform to design and maintain scalable data infrastructure. You will own our data warehouse, ETL orchestration, governance, and quality framework to empower business users with reliable access to data.

You will scale pipelines, implement architecture principles, and ensure compliance with GDPR/CCPA while remaining on-call to handle production incidents and postmortems for continuous improvement.

Qualifications

• 5+ years in data platform or data infrastructure engineering.
• Experience administering a cloud data warehouse at scale with performance tuning and cost management.
• Experience operating ETL orchestration or transformation frameworks in production (Airflow, Coalesce, dbt or similar).
• Proficiency in Python 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.

Responsibilities

• Ensure the warehouse scales, queries are performant, and cost is under control.
• Contribute to data architecture principles so the data model scales.
• Ensure data ingestion and ETL orchestration works reliably and efficiently.
• Manage access controls balancing least-permissions with business speed.
• Maintain data quality framework to protect data accuracy.
• Ensure privacy compliance (GDPR/CCPA) including PII tagging and retention policies.
• Respond to incidents, perform postmortems, and drive improvements.

Skills

Data platform exp

Cloud data warehouse

ETL orchestration

Python

Terraform

On-call support

Tools

Airflow

Coalesce

dbt

Terraform

GCP BigQuery

IAM

GCS

Bigeye

Monte Carlo

Great Expectations

Job description

Fireworks AI, Inc. is seeking a Member of Technical Staff, Data Platform to design and maintain scalable data infrastructure. You will own our data warehouse, ETL orchestration, governance, and quality framework to empower business users with reliable access to data.

You will scale pipelines, implement architecture principles, and ensure compliance with GDPR/CCPA while remaining on-call to handle production incidents and postmortems for continuous improvement.