Staff Software Engineer, Metadata

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the design and execution of intricate team-level projects within Metadata services, facilitating development across various engineers.

• Create and develop new subsystem architectures, taking full ownership of team-level subsystems from start to finish.

• Utilize AI tools and agents throughout the development process and across SDLC artifacts.

• Evaluate and approve technical designs, identifying any design shortcomings prior to release.

• Propel technical initiatives pertaining to discovery API, catalog, lineage, and run history.

• Establish and maintain design, architecture, and coding best practices.

• Mentor and coach engineers to enhance code quality.

• Draft technical specifications and document shared components.

• Rectify and optimize critical areas of the codebase, manage incident follow-through, and enhance service reliability and performance.

• Participate in the on-call rotation on a periodic basis.

⛳️ Requirements

• 8+ years of experience in software engineering, leading complex technical projects at the team level.

• Extensive knowledge in designing and managing subsystems within distributed, cloud-based systems.

• Capability to establish technical direction and lead initiatives involving multiple engineers.

• Exceptional design and architecture judgment with the ability to conduct thorough trade-off analyses.

• Proficient in writing exemplary, well-tested code and consistently delivering results from sprint to sprint.

• Proven history of enhancing quality through code reviews, peer coaching, and engineering practices.

• Experience collaborating with Quality Engineering on testing strategies and managing incidents, post-mortems, reliability, and performance.

• Proficient in Python, Java, C++, C#, or another modern backend or systems programming language.

• Practical experience with AWS, GCP, or Azure; Docker, Kubernetes, and development infrastructure.

• Fluent in utilizing AI code assistants, coding agents, and conversational AI for SDLC artifacts.

• Experience with ETL, ELT, or cloud-based data platforms.

• Background in architecting metadata, catalog, lineage, or discovery/search systems.

• Familiarity with GraphQL APIs and high-throughput, multi-tenant data services.

• Understanding of analytics engineering workflows and the dbt ecosystem.

🏝️ Benefits

• 100% employer-covered medical insurance.

• Generous paid time-off policy (PTO).

• Paid sick leave.

• Inclusive parental leave policy.

• Holidays, including a year-end Global Week of Rest.

• Volunteer days off.

• RSU stock grants.

• Opportunities for professional development and training.

• Company-wide virtual happy hours.

• Complimentary food.

• Engaging team-building activities.

• Monthly cell phone stipend.

• Mental health support platform offering therapy, coaching, and self-guided mindfulness exercises for covered employees and their dependents.