Level

Fivetran

Engineering Manager, Metadata

Fivetran is hiring an Engineering Manager, Metadata in Oakland, United States. It pays $187k-$233k a year and Level rates it ; you can apply on Fivetran.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include ChatGPT, Claude and Copilot.
  • Level classifies it as a senior role.
  • Level lists 170 other open roles at Fivetran.

AI in this role

Lead the Metadata engineering team owning discovery APIs, catalog, lineage, and run history services for the dbt platform.

chatgptclaudecopilotclaude-code
engineering-managementmetadataapisdata-modelingsystem-reliability

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. 

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.

You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.

What You'll Do

  • Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
  • Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
  • Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
  • Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
  • Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
  • Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
  • Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
  • Delegate effectively and build autonomy and a positive, high-trust culture within the team
  • Address performance issues and conflict promptly and fairly
  • Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans

Skills We're Looking For

  • Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
  • Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
  • Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
  • Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
  • Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
  • Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
  • Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team

Bonus Skills

  • Experience building or operating metadata, catalog, lineage, or discovery/search systems
  • Experience with GraphQL APIs and high-throughput, multi-tenant data services
  • Familiarity with the analytics engineering workflow and the dbt ecosystem
  • Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.

Oakland Pay Range$186,701—$233,376 USD

 

Perks and Benefits

  • 100% employer-paid medical insurance*
  • Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
  • RSU stock grants*
  • Professional development and training opportunities
  • Company virtual happy hours, free food, and fun team-building activities
  • Monthly cell phone stipend
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran's Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.     

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

How we rate this

Engineering Manager, Metadata at Fivetran rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Engineering ManagementMetadataAPIsData ModelingSystem ReliabilityChatGPTClaudeCopilot

Questions you could be asked

  1. Tell me about a project where engineering management was part of your work. What did you do?
  2. Tell me about a project where metadata was part of your work. What did you do?
  3. Tell me about a project where apis was part of your work. What did you do?
  4. Tell me about a project where data modeling was part of your work. What did you do?
  5. Tell me about a project where system reliability was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Engineering Management, Metadata, APIs, Data Modeling, and System Reliability. 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.

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