Data Architect
Role details
Job location
Tech stack
Job description
Data & Semantic Modelling
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Design and implement dimensional data models (star schema, fact/dimension design)
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Build and manage enterprise-scale semantic models (Power BI datasets / tabular models)
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Define modelling standards, reusable measures, hierarchies
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Implementation of best practices rules of sematic modeling (Tabular Editor BPA)
Power BI Architecture (Premium)
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Architect Power BI Premium solutions for large-scale analytics
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Develop advanced DAX and optimise performance
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Use Tabular Editor and DAX Studio for tuning and governance
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Good to keep updated on the latest Microsoft Power BI Product releases and industry trends
GitHub & BI DevOps
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Implement version control using GitHub for Power BI assets
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Establish CI/CD pipelines for BI deployments
Cloud Data Platform (AWS)
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Integrate Power BI with Amazon Redshift, Power BI Gateways
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Ensure optimised data pipelines and BI consumption
Governance
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Implement OLS, RLS, security, and compliance
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Define semantic layer best practices
Requirements
We are looking for a highly skilled Data / BI Architect with strong expertise in data modelling, semantic modelling, and enterprise Power BI architecture. The role requires hands-on experience with Power BI Premium, Tabular Editor, DAX Studio, and GitHub-based BI DevOps, along with exposure to AWS data platforms (Redshift, S3, etc.)., Data Modelling (Dimensional, Performance tuning)
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Power BI Premium, DAX, Power Query
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Tabular Editor, DAX Studio
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GitHub (version control, CI/CD)
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AWS (Redshift, S3)
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SQL & Data Warehousing
Preferred
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12+ years experience
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Microsoft certifications
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Large-scale enterprise BI implementations