Data Governance Engineer - AI-Driven Catalog & Lineage

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

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Required Experience:

12+ years

Preferred Qualifications

• 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.