Fabric Enterprise Azure Data Architect
Experience:12+years
Fulltime
Pune Location
Shift: 11:00 am to 8:00 pm

Fabric Enterprise Azure Data Architect    12+ Yrs Technical Skills:
12+ years of overall IT experience with deep expertise in Data Architecture and Azure Data Platform solutions.
Strong understanding of big data processing, schema-on-read, data lakehouse architectures, and modern enterprise data warehousing.
· Hands-on architectural and implementation experience with Azure Data Factory (ADF), Azure Databricks (PySpark), Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Synapse Analytics, and Microsoft Fabric is must.
· Proven ability to design scalable, secure, resilient, and cost-efficient data architectures on Azure.
· Strong proficiency in Python (PySpark mandatory) and SQL; familiarity with Power BI DAX is a plus.
· Experience designing enterprise-grade ETL/ELT frameworks, metadata-driven pipelines, reusable ingestion patterns, and orchestration strategies.
· Solid expertise in data modeling (Kimball, Inmon, Data Vault, SCD Type 2) for warehouse and lakehouse implementations.
· Strong knowledge of data governance, data quality frameworks, lineage, cataloging, and security models including RBAC, data masking, and row/column-level security.
· Experience with cost management, capacity planning, performance tuning, and optimization of Azure data workloads (compute, storage, query performance).
· Understanding of Azure infrastructure concepts including networking (VNet, Private Endpoints), identity (AAD, Managed Identity), resource organization, and subscription management.
· Experience with CI/CD, DevOps practices, Infrastructure as Code (ARM/Bicep/Terraform), and automated deployments for data platforms.
· Experience designing semantic layers and reporting models for Power BI and Tableau.    11 AM to 8 PM

Fabric Enterprise Azure Data Architect
Experience:12+years
Fulltime
Pune Location
Shift: 11:00 am to 8:00 pm

Fabric Enterprise Azure Data Architect    12+ Yrs Technical Skills:
12+ years of overall IT experience with deep expertise in Data Architecture and Azure Data Platform solutions.
Strong understanding of big data processing, schema-on-read, data lakehouse architectures, and modern enterprise data warehousing.
· Hands-on architectural and implementation experience with Azure Data Factory (ADF), Azure Databricks (PySpark), Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Synapse Analytics, and Microsoft Fabric is must.
· Proven ability to design scalable, secure, resilient, and cost-efficient data architectures on Azure.
· Strong proficiency in Python (PySpark mandatory) and SQL; familiarity with Power BI DAX is a plus.
· Experience designing enterprise-grade ETL/ELT frameworks, metadata-driven pipelines, reusable ingestion patterns, and orchestration strategies.
· Solid expertise in data modeling (Kimball, Inmon, Data Vault, SCD Type 2) for warehouse and lakehouse implementations.
· Strong knowledge of data governance, data quality frameworks, lineage, cataloging, and security models including RBAC, data masking, and row/column-level security.
· Experience with cost management, capacity planning, performance tuning, and optimization of Azure data workloads (compute, storage, query performance).
· Understanding of Azure infrastructure concepts including networking (VNet, Private Endpoints), identity (AAD, Managed Identity), resource organization, and subscription management.
· Experience with CI/CD, DevOps practices, Infrastructure as Code (ARM/Bicep/Terraform), and automated deployments for data platforms.
· Experience designing semantic layers and reporting models for Power BI and Tableau.    11 AM to 8 PM