Senior Governance Architect

About Lumenalta

At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact, empowering every team member to do their best work.

About the Role

We are looking for a Senior Governance Architect to own the governance architecture on a strategic enterprise data modernization engagement for a global industrial manufacturing client. The client is defining its target-state data platform across Microsoft Fabric and Azure Databricks, and governance is at the center of it: the business needs to trust its data before it can run analytics and AI on it.

This is not a traditional catalog-and-lineage role. The client is building toward GenAI and agentic AI on its enterprise and plant data, so governance has to reach beyond tables and pipelines to AI models, prompts, and agents. You will partner with our AI Lead on the AI readiness assessment and own the AI governance framework. If you have done solid governance work on Unity Catalog or Purview and want to apply it to the AI governance problems most organizations are only starting to face, this role is built for that.

The foundation is still rigorous data governance: assessing the client's current capabilities against an eight-component framework, evaluating the governance technology stack, and designing the enabling architecture for metadata, catalog, lineage, data quality, reference data, and master data management (MDM), including Stibo STEP integration. The client has its own governance team that owns policies and stewardship, so you will need the tact to complement their work rather than overlap it.

What You'll Be Doing

• Governance capability assessment. Assess the client's current governance capabilities against an eight-component framework, score maturity, identify gaps, and translate the findings into a prioritized governance capability roadmap.
• Governance technology evaluation. Define weighted evaluation criteria, compare catalog, lineage, glossary, data quality, and MDM tooling, and recommend a stack that works across both Fabric and Databricks.
• Enabling architecture. Design the governance architecture for metadata, catalog, business glossary, lineage, data quality, reference data, and MDM, and show how each capability is enforced in the recommended tooling.
• Data catalog and glossary. Architect the catalog s...

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