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.
Robust understanding of big data processing, schema-on-read, data lakehouse architectures, and up-to-date 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.
Robust 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

(Candidate has to be flexible. may require overlap EST time-zone as per project need)

1

Pune and Banglore
(Hybrid only)
6 months

C2C

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