Data Architect

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

Strong experience in Data Lake / Data Warehouse implementations as an Architect

Experience in data governance, security & access control (RBAC, Purview, etc.)

Proven experience in enterprise-scale data platform design

Experience in CI/CD & DevOps for Data Engineering

Hands-on experience working with SAP and multiple ERP systems (Sales & Finance modules preferred) for data ingestion

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