Data Architect – Microsoft Fabric & Azure Data Platform

EXL

Pune District

On-site

INR 4,500,000 - 7,500,000

Full time

6 days ago

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Job summary

EXL is seeking an experienced Data Architect to lead enterprise data modernization efforts. The role focuses on Microsoft Fabric, Azure data services, and Databricks to design scalable, secure data platforms and governance frameworks.

The candidate will drive architecture standards, reference architectures, and implementation roadmaps while mentoring data engineering teams across cloud-native environments in the Insurance/enterprise domain.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
Minimum 10 years of experience in Data Engineering, Data Architecture, or Data Platform leadership roles.
Strong experience designing and architecting data solutions in cloud environments.

Responsibilities

Define and drive enterprise data architecture strategies aligned with business objectives and technology roadmaps.
Design scalable, secure, and high-performance data platforms leveraging Fabric, Azure, and Databricks ecosystems.
Establish architecture standards, reusable patterns, and governance frameworks.
Lead cloud data modernization and migration from legacy platforms to cloud-native architectures.
Create architecture blueprints, reference architectures, and implementation roadmaps.
Architect end-to-end Fabric Lakehouse, Data Warehouse, pipelines, and real-time analytics.
Drive Fabric deployment strategies, performance optimization, and governance.
Define ingestion, transformation, storage, and consumption frameworks on Azure.
Design Databricks Lakehouse solutions and large-scale data pipelines.
Define metadata, lineage, data quality, and security governance.
Collaborate with leaders, product owners, and engineering teams to translate requirements into scalable architectures.
Provide technical leadership and mentorship to data engineering teams.

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Microsoft Fabric

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Azure Key Vault

Azure Functions

Azure Event Hub

Azure DevOps

Databricks

Apache Spark

PySpark

Delta Lake

Unity Catalog

Databricks Workflows

Auto Loader

Delta Live Tables

Power BI

Job description

Job Summary

We are seeking an experienced and highly skilled Data Architect with strong expertise in Microsoft Fabric, Azure Data Platform, Databricks, and Apache Spark to lead the design and implementation of enterprise-scale data modernization initiatives.
The ideal candidate will have extensive experience architecting cloud-native data platforms, defining data strategies, and delivering scalable, secure, and high-performing data solutions across complex business environments.
This role requires deep technical knowledge of Microsoft Azure data services, modern data architecture patterns, data governance frameworks, and large-scale analytics platforms. Experience within the Insurance domain is highly desirable.

Key Responsibilities

Data Architecture & Strategy

Define and drive enterprise data architecture strategies aligned with business objectives and technology roadmaps.
Design scalable, secure, and high-performance data platforms leveraging Microsoft Fabric, Azure, and Databricks ecosystems.
Establish architecture standards, best practices, reusable design patterns, and governance frameworks for enterprise data solutions.
Lead cloud data modernization and migration initiatives from legacy platforms to cloud-native architectures.
Create architecture blueprints, reference architectures, and implementation roadmaps.

Microsoft Fabric Leadership

Architect and implement end-to-end solutions using:
- Microsoft Fabric Lakehouse
- Fabric Data Warehouse
- Data Pipelines
- Real-Time Analytics
- OneLake
- Power BI Integration
Design Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric.
Drive Fabric deployment strategies, performance optimization, and environment governance.
Implement Fabric security, access controls, lineage, monitoring, and data lifecycle management.

Azure Data Platform Architecture

Design and implement enterprise data solutions using:
- Azure Data Factory (ADF)
- Azure Data Lake Storage Gen2 (ADLS)
- Azure Synapse Analytics
- Azure Key Vault
- Azure Event Hub
- Azure Functions
- Azure DevOps
Define ingestion, transformation, storage, and consumption frameworks.
Drive cloud adoption and optimization initiatives.

Databricks & Big Data Engineering

Architect and optimize Databricks Lakehouse solutions.
Lead implementation of:
- Apache Spark
- PySpark
- Delta Lake
- Unity Catalog
- Databricks Workflows
- Auto Loader
- Delta Live Tables
Design large-scale data pipelines supporting batch and real-time workloads.
Optimize Spark processing, cluster utilization, and workload performance.

Data Governance & Security

Define enterprise data governance standards.
Implement metadata management, lineage, cataloging, and data quality frameworks.
Partner with security teams to ensure data privacy, compliance, and regulatory adherence.
Enable business-friendly data discovery and self-service analytics.

Stakeholder Engagement

Collaborate with business leaders, product owners, engineering teams, and program stakeholders.
Translate business requirements into scalable technical architectures.
Lead architecture reviews, design workshops, and solution governance forums.
Provide technical leadership and mentorship to data engineering teams

Required Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
Minimum 10 years of experience in Data Engineering, Data Architecture, or Data Platform leadership roles.
Strong experience designing and architecting data solutions in cloud environments.

Must-Have Technical Skills

Microsoft Fabric