Staff Software Engineer, Metadata
Technical leader for the Metadata team, designing distributed cloud subsystems and leading complex initiatives across discovery, catalog, lineage, and run history services. Requires 8+ years of software engineering experience, backend or systems expertise, cloud infrastructure experience, and strong architecture, reliability, and mentoring skills.
About the job
Responsibilities
- Lead the design and delivery of complex, team-level projects across Metadata services, coordinating development across multiple engineers.
- Design and develop architectures for new subsystems and own team-level subsystems end to end.
- Use AI tooling and agents throughout development and SDLC artifacts, including TDDs, PRDs, post-mortems, and test plans.
- Review and approve technical designs and identify design deficiencies before release.
- Drive technical initiatives across discovery API, catalog, lineage, and run history services.
- Establish and uphold design, architecture, and coding best practices.
- Coach and mentor engineers and improve code quality through reviews and guidance.
- Write technical specifications and document common components.
- Optimize critical code, follow up on incidents, and improve service reliability and performance.
- Participate periodically in the on-call rotation.
Requirements
- 8+ years of software engineering experience leading complex, team-scope technical work.
- Deep expertise designing and owning subsystems in distributed, cloud-based systems.
- Ability to set technical direction and lead multi-engineer initiatives.
- Strong design and architecture judgment with the ability to evaluate trade-offs.
- Track record of writing well-tested code, delivering reliably, and raising engineering quality.
- Experience partnering with QE on test strategy and owning incidents, post-mortems, reliability, and performance.
- Proficiency in a modern backend or systems language such as Python, Java, C++, or C#.
- Experience with AWS, GCP, or Azure; Docker; Kubernetes; and development infrastructure.
- Fluency with AI code assistants, coding agents, and conversational AI for SDLC artifacts.
Nice-to-haves
- Experience with ETL, ELT, or cloud-based data platforms.
- Experience architecting metadata, catalog, lineage, or discovery/search systems.
- Experience with GraphQL APIs and high-throughput, multi-tenant data services.
- Familiarity with analytics engineering workflows and the dbt ecosystem.
Technologies
- Python
- GraphQL
- PostgreSQL
- Snowflake
- Kafka
- Kubernetes
- Docker
- AWS
- Google Cloud
- Datadog
- Java
- C++
- C#
Compensation and Benefits
- Denver target compensation range: $162,157.50–$198,877.25 USD.
- 100% employer-paid medical insurance, subject to country and worker type.
- Paid time off, paid sick time, parental leave, holidays, volunteer days, and a year-end Global Week of Rest.
- RSU stock grants.
- Professional development and training opportunities.
- Monthly cell phone stipend.
- Mental health support platform for covered employees and dependents.
Skills
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog, Java, C++, C#, dbt
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