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
- Fabric Lakehouse
- Data Warehouse
- OneLake
- Data Pipelines
- Fabric Security & Governance
- Real-Time Analytics
- Power BI Integration
Microsoft Azure
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS Gen2)
- Azure Synapse Analytics
- Azure Key Vault
- Azure Functions
- Azure Event Hub
- Azure DevOps
Databricks
- Azure Databricks
- Delta Lake
- Unity Catalog
- Databricks Workflows
- Delta Live Tables
- Auto Loader
Data Engineering
- Apache Spark
- PySpark
- SQL
- Python
- Data Modeling
- ETL/ELT Design
Architecture & Governance
- Medallion Architecture
- Lakehouse Architecture
- Data Mesh (Preferred)
- Data Governance
- Metadata Management
- Data Lineage
- Data Quality Frameworks
- CI/CD & DevOps Practices
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
- Minimum 10 years of experience in data engineering, data architecture, or data platform leadership
- Experience designing and architecting data solutions in cloud environments
- Microsoft Fabric experience, including Lakehouse, Data Warehouse, OneLake, Data Pipelines, security, governance, real-time analytics, and Power BI integration
- Microsoft Azure experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, Key Vault, Functions, Event Hub, and Azure DevOps
- Databricks experience with Azure Databricks, Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables, and Auto Loader
- Apache Spark, PySpark, SQL, Python, data modeling, and ETL/ELT design experience
- Experience with medallion architecture, lakehouse architecture, data governance, metadata management, data lineage, data quality frameworks, and CI/CD practices
- Data Mesh experience
- Insurance domain experience
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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