Member of Technical Staff, Data Platform
Fireworks AI is hiring a Member of Technical Staff, Data Platform for a remote role open to applicants in United States. It pays $220k-$300k a year and Level rates it ; you can apply on Fireworks AI.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include PyTorch.
- Level lists 89 other open roles at Fireworks AI.
- The role was posted in the last few days.
AI in this role
About Us:
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.
The Role
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.
What You'll Do
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.
What We Are Looking For
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 AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
How we rate this
Member of Technical Staff, Data Platform at Fireworks AI rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used PyTorch hands-on?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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