Data Architect – Microsoft Fabric, Azure Data Platform

EXL

Data Architect leading enterprise data modernization with Microsoft Fabric, Azure, and Databricks. Designing secure cloud-native platforms, governance frameworks, and large-scale analytics pipelines.

Posted 9/3/2026full-timeRemote • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures using Microsoft Fabric and Azure technologies, with a strong focus on data governance, security, and performance optimization. Proven ability to lead data modernization initiatives and collaborate with cross-functional teams to translate business needs into effective data solutions.

Highest-signal resume keywords

Microsoft Fabric ArchitectureAzure Data SolutionsApache Spark ProficiencyData Governance ImplementationCloud Data Modernization

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Hard Skills

Data ArchitectureData EngineeringETL/ELT DesignData ModelingSQLPythonAzure DatabricksMicrosoft FabricMedallion ArchitectureReal-Time Analytics

Soft Skills

Technical LeadershipCollaborationMentorshipCommunication

Tools & Technologies

Azure Data FactoryAzure Data Lake Storage Gen2Azure Synapse AnalyticsAzure Key VaultAzure FunctionsAzure Event HubDatabricks WorkflowsDelta Live TablesAuto LoaderPower BI

Industry Keywords

Data GovernanceMetadata ManagementData Quality FrameworksData MeshInsurance Domain Experience

Tech Stack

Tools & technologies

ApacheAzureCloudETLPySparkPythonSparkSQLUnityVault

About the role

Key responsibilities & impact

Define and drive enterprise data architecture strategies aligned with business objectives and technology roadmaps
Design scalable, secure, and high-performance data platforms using Microsoft Fabric, Azure, and Databricks
Establish architecture standards, reusable design patterns, and governance frameworks
Lead cloud data modernization and migration initiatives from legacy platforms to cloud-native architectures
Create architecture blueprints, reference architectures, and implementation roadmaps
Architect and implement Microsoft Fabric Lakehouse, Fabric Data Warehouse, Data Pipelines, Real-Time Analytics, OneLake, and Power BI integrations
Design Medallion Architecture within Microsoft Fabric
Drive Fabric deployment strategies, performance optimization, and environment governance
Implement security, access controls, lineage, monitoring, and data lifecycle management
Design and implement Azure enterprise data solutions and ingestion, transformation, storage, and consumption frameworks
Drive cloud adoption and optimization initiatives
Architect and optimize Databricks Lakehouse solutions
Lead Apache Spark, PySpark, Delta Lake, Unity Catalog, Databricks Workflows, Auto Loader, and Delta Live Tables implementations
Design large-scale batch and real-time data pipelines
Optimize Spark processing, cluster utilization, and workload performance
Define data governance standards and implement metadata management, lineage, cataloging, and data quality frameworks
Partner with security teams on data privacy, compliance, and regulatory adherence
Enable business-friendly data discovery and self-service analytics
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

Requirements

What you’ll need

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
Experience with Microsoft Fabric: Fabric Lakehouse, Data Warehouse, OneLake, Data Pipelines, Fabric Security & Governance, Real-Time Analytics, and Power BI Integration
Experience with Microsoft Azure: Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Key Vault, Azure Functions, Azure Event Hub, and Azure DevOps
Experience with Azure Databricks, Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables, and Auto Loader
Proficiency in Apache Spark, PySpark, SQL, Python, data modeling, and ETL/ELT design
Knowledge of Medallion Architecture, Lakehouse Architecture, data governance, metadata management, data lineage, data quality frameworks, and CI/CD & DevOps practices
Experience with Data Mesh is preferred
Insurance domain experience is highly desirable

Benefits

Comp & perks

Work From Home / remote work arrangement