Data Architect
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Role details
Tech stack
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Requirements
Must Have Technical/Functional Skills
- Strong hands-on experience in Microsoft Fabric / Azure Data Engineering stack
o Lakehouse, OneLake, Pipelines, Notebooks o Azure Data Factory / ADLS / Databricks
- Strong knowledge of:
o Data Lake architecture & design patterns o ETL/ELT frameworks and pipeline orchestration o PySpark / Spark SQL / Advanced SQL o Data Lake / Lakehouse / DWH concepts o Data modeling (Star Schema, Fact/Dimension design o Data security (row/column level security concepts
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Strong experience in Data Lake / Data Warehouse implementations as an Architect
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Experience in data governance, security & access control (RBAC, Purview, etc.)
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Proven experience in enterprise-scale data platform design
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Experience in CI/CD & DevOps for Data Engineering
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Hands-on experience working with SAP and multiple ERP systems (Sales & Finance modules preferred) for data ingestion
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Good understanding of:
o Data mapping (source-to-target at attribute level) o ERP data structures (master & transactional data) o Data analysis and data validation techniques
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