Data Governance Engineer

JOB SUMMARY

Hands‑on technical specialist responsible for implementing and operating Atlan as the enterprise data catalog and lineage platform. Working alongside the Data Governance Platforms Manager, this role turns the catalog/lineage roadmap into working capability — cataloging assets, building lineage, automating governance through workflows, standing up integrations, and packaging certified data products. The role pairs practical Data Catalog engineering skill with insurance industry domain knowledge, and a forward‑looking focus on using AI tooling and the Model Context Protocol (MCP) to connect Atlan to AI agents.

• Cataloguing & metadata — catalogue assets across source systems; maintain the business glossary, classifications, tags and certification statuses; drive metadata completeness and quality.
• Lineage — implement and maintain business and technical lineage (including column‑level where supported); ensure minimum lineage depth for certified releases with evidence attached.
• Workflows & automation — design and operate Atlan workflows and playbooks for governance, enrichment and approvals; automate repetitive stewardship tasks.
• Integrations & connectors — configure and maintain connectors across the data estate (e.g. Snowflake, dbt, BI tools like PowerBI); build custom integrations via the Atlan API/SDK; monitor and resolve connector issues with engineering teams.
• Data products — build and publish certified data products with embedded lineage, ownership, signed off definitions and reference‑data alignment.
• AI & MCP integration — connect Atlan to AI agents using MCP and the API; build AI‑assisted enrichment and natural‑language discovery; ope rationalise agentic workflows with appropriate guardrails and audit trails.
• AI tooling & agent building — use AI tools such as Claude to build reusable skills, agents and automations that accelerate cataloguing, metadata enrichment and governance tasks.
• Domain alignment & adoption — apply insurance domain knowledge to glossary, reference data and classification design; onboard stewards/owners and support active usage of governance steps.

• Hands‑on Atlan experience (or a comparable platform such as Collibra/Alation) across cataloguing, glossary, lineage, classifications and workflows.
• Practical experience with catalogue connectors and integrations across modern data stacks.
• APIs and scripting — comfortable with a platform's REST API/SDK and automation.
• Solid data management foundations — metadata, lineage, reference/master data, stewardship, data contracts.
• Insurance industry domain knowledge and experience, with the ability to translate core insurance concepts into catalogue structure.
• Clear communicator who can drive metadata quality and adoption with technical and business stakeholders.
• Required Experience:
  
  12+ years

• Experience integrating data platforms with AI/LLM tooling, and familiarity with MCP or comparable agent‑integration frameworks.
• Hands‑on use of AI tools such as Claude to build skills, agents and automations.
• Experience building data products; SQL fluency; familiarity with cloud data platforms (e.g. Snowflake) and dbt.
• Familiarity with insurance data standards (e.g. ACORD) and relevant regulatory/reporting requirements.