Data Architect, AI and Data Practice

Summary

Data architect role at a consulting firm, designing data warehouse/lakehouse solutions and Power BI semantic models, developing ELT pipelines, implementing governance with Microsoft Purview, and supporting AI-agent-ready semantic layers in Microsoft Fabric.

- Build Power BI datasets and reports - Configure sensitivity labels and permissions - Create report and dashboard development - Deliver end to end architecture and handover - Design and build data warehouse and lakehouse solutions - Design tabular semantic models - Develop DAX calculations - Develop ELT pipelines - Develop business ontologies and semantic models - Implement data governance with Microsoft Purview - Implement row level security - Perform performance tuning - Support agent ready semantic layers in Microsoft Fabric - Translate client reporting needs into governed models - Validate data agents with eval suites

See also

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