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.

Responsibilities

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

Qualifications

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.
- Robust 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

📌 Data Architect – Microsoft Fabric & Azure Data Platform (India)
🏢 EXL
📍 India