Member of Technical Staff, Data Platform
Join Fireworks AI as a Member of Technical Staff to design and maintain scalable data infrastructure for AI models.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 2 hours ago
What you'll build
- Ensure the warehouse scales and queries are performant
- Contribute to data architecture principles
- Ensure data ingestion and ETL orchestration works reliably
- Manage access controls
- Ensure data quality framework protects critical data
Must have
- 5+ years in data platform or data infrastructure engineering
- Experience administering a cloud data warehouse at scale
- Experience operating ETL orchestration or transformation frameworks
- Proficiency in Python for building data tooling
- Experience with Terraform or other infrastructure as code
- Experience being on-call for data systems
Nice to have
- Experience with GCP services
- Experience managing a data quality or observability tool
- Experience designing access controls and data lineage services
- Experience implementing GDPR/CCPA compliance
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Member of Technical Staff for the Data Platform at Fireworks AI, the individual will focus on designing and maintaining a scalable data infrastructure that supports the data team's operations. Key skills include experience with cloud data warehouses, ETL orchestration, and proficiency in Python, alongside a solid understanding of data governance and compliance frameworks. This position is suited for seasoned professionals with over five years in data infrastructure engineering, particularly those familiar with managing data quality and compliance in fast-paced environments.
Joblaze insights
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Member of Technical Staff, Data Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, BigQuery, CCPA, GCP, GDPR, Python.
- What seniority level is this role?
- Fireworks AI targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff, Data Platform role at Fireworks AI.
From the original posting
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.
Standard company text repeated across Fireworks AI's postings is omitted here.