Staff Software Engineer, Metadata

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $183k - $245k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Fivetran

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

📦 Logistics

💰 $565M Series D on 2021-09

Consulting • Logistics • Data Integration

Fivetran is a company that focuses on simplifying the process of data integration by providing automated data connectors that sync data from different sources into data warehouses, enabling seamless analytics and insights. Using a streamlined, fully-managed approach, Fivetran helps businesses consolidate their data infrastructure to ensure consistent data availability and reliability.

📋 Description

• Lead the design and delivery of complex, team-level projects across Metadata services, coordinating development across multiple engineers • Design and develop new subsystem architectures and own team-level subsystems end to end • Use AI tooling and agents across development and SDLC artifacts • Review and approve technical designs and identify design deficiencies before release • Drive technical initiatives across discovery API, catalog, lineage, and run history • Set and uphold design, architecture, and coding best practices • Coach and mentor engineers to improve code quality • Write technical specifications and document common components • Fix and optimize critical codebase areas, drive incident follow-through, 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 drive multi-engineer initiatives • Excellent design and architecture judgment with clear trade-off analysis • Ability to write exemplary, well-tested code and reliably deliver sprint to sprint • Track record of improving quality through code review, peer coaching, and engineering practices • Experience partnering with QE on test strategy and owning incidents, post-mortems, reliability, and performance • Proficiency in Python, Java, C++, C#, or another modern backend or systems language • Hands-on experience with AWS, GCP, or Azure; Docker, Kubernetes, and development infrastructure • Fluent use of AI code assistants, coding agents, and conversational AI for SDLC artifacts • 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

🏖️ Benefits

• 100% employer-paid medical insurance • Generous paid time-off policy (PTO) • Paid sick time • Inclusive parental leave policy • Holidays, including a year end Global Week of Rest • Volunteer days off • RSU stock grants • Professional development and training opportunities • Company virtual happy hours • Free food • Fun team-building activities • Monthly cell phone stipend • Mental health support platform with therapy, coaching, and self-guided mindfulness exercises for covered employees and dependents