Data Platforms Architect
Tasks
- Architect end-to-end Data Platforms
- Build semantic models for analytics
- Catalog and classify data with sensitivity labels
- Create reference architectures and solution documents
- Define lakehouse standards and metadata driven ingestion
- Design partitioning and role based access controls
- Develop Spark based transformations
- Drive reusable frameworks and architecture review checkpoints
- Establish CI CD and automated provisioning
- Implement Delta Lake patterns
- Implement data governance and lineage solutions
- Integrate Azure Databricks and Microsoft Fabric
- Lead and mentor architects and engineers
- Monitor reliability performance and cost
- Review designs and guide delivery teams
Perks/Benefits
- Deloitte Days
- Development and Innovation Days
- Flexible work arrangements
- Hybrid work structure
- Learning days
- Mentoring and on the job coaching
- Wellness benefits
Skills/Tech-stack
Access Control | Azure | Azure Databricks | Azure DevOps | CI/CD | Cataloging | Data Classification | Data Governance | Data Lineage | Databricks | Delta Lake | Git | Infrastructure automation | Lakehouse | Metadata Driven | Metadata Driven Ingestion | Microsoft Fabric | Microsoft Purview | Partitioning | PySpark | Role-Based Access | Role-Based Access Control | SQL | Semantic Modeling | Semantic models | Sensitivity Labels | Spark | Spark Notebooks | Unity Catalog
Education
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