Data Architect Role 10yrs to 15yrs | MS Fabric / Microsoft Fabric- Minimum 2yrs | Azure | Immediate Joiner / 30days at WNSGlobalServices144

WNSGlobalServices144

Bangalore, KA, in·8h ago

SeniorFull-timePythonAzurePostgreSQLData Science

Salary Range

$20,995 - $28,405 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are seeking a highly skilled and experienced Data Architect to lead the design, development, and implementation of our enterprise data architecture. The ideal candidate will have deep expertise in the Microsoft Azure cloud ecosystem, with a strong focus on the emerging Microsoft Fabric platform.

Key Responsibilities

→Design end-to-end data solutions on Azure, incorporating Microsoft Fabric (OneLake, Data Warehouse), Azure Databases, and Power BI.
→Develop and maintain conceptual, logical, and physical data models for both relational and data warehouse environments.
→Architect and manage data storage solutions using Microsoft Fabric OneLake as the unified data lake.
→Design and optimize Microsoft Fabric Data Warehouses for enterprise-scale analytics.
→Administer and optimize cloud databases, including Azure PostgreSQL and Azure SQL Server.
→Design, build, and maintain efficient and reliable data pipelines using Fabric Data Pipelines and Dataflows (Gen2).
→Develop and optimize large-scale data processing jobs using Spark Jobs (Spark SQL, PySpark, Spark Scala) within Fabric.
→Architect the semantic layer and data models for enterprise Power BI reports and dashboards.
→Implement data governance, security, and compliance policies across the Fabric platform, including data lineage, cataloging, and access controls.
→Work closely with data engineers, business intelligence developers, data scientists, and business stakeholders to understand requirements and deliver robust data solutions.

Requirements

✓12+ years of experience in data architecture, data engineering, or a similar role, with at least 3+ years of hands-on experience in Azure.
✓Proven experience with Microsoft Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL DB).
✓Hands-on experience with Microsoft Fabric is essential, including OneLake, Fabric Warehousing, Fabric Pipelines & Dataflows, and Spark in Fabric.
✓Strong proficiency in Azure PostgreSQL and/or Azure SQL Server, including performance tuning, security, and management.
✓Extensive experience architecting the data backend for Power BI, including designing semantic models and optimizing for performance.
✓Proficiency in SQL (advanced required), PySpark/Spark SQL, and Python. Experience with PowerShell for automation is a plus.
✓Strong knowledge of data modeling principles (e.g., Star Schema, Kimball, Data Vault).
✓Excellent analytical and problem-solving skills with the ability to design solutions for complex business requirements.