Azure Architect with MDM & ETL Exp

Somerset Staffing • Chicago, IL

1d

About The Position

We are seeking an experienced Azure Architect with strong expertise in Master Data Management (MDM) and ETL (Data Integration) to design, implement, and support enterprise-scale data platforms on Microsoft Azure. The ideal candidate will be responsible for defining data architecture, establishing data governance standards, and delivering scalable solutions for data integration, master data management, analytics, and reporting.

Requirements

• 10 years of experience in Data Engineering, Data Architecture, or related roles
• Strong expertise in Microsoft Azure (Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure SQL Database, Azure Functions)
• Hands-on experience with MDM platforms (Informatica MDM, Reltio MDM, IBM Infosphere MDM preferred)
• Strong ETL/ELT development and architecture experience
• Advanced SQL, Data Modeling, and Data Warehousing concepts
• Experience with Data Governance, Data Quality, and Metadata Management
• Knowledge of CDC, SCD, data migration, and integration patterns
• Experience with Agile delivery methodologies
• Azure Cloud Architecture
• ETL Concepts
• IBM-MDM
• INFORMATICA-MDM
• ETL Data integration
• Data Migration
• Metadata Management
• SQL Data Modeling

Nice To Haves

• MDM implementations

Responsibilities

• Design and implement enterprise data architectures using Azure cloud technologies
• Architect and support MDM solutions (Informatica MDM, Reltio, IBM MDM, or similar platforms)
• Design and develop scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and related Azure services
• Define data ingestion, transformation, data quality, and data governance frameworks
• Collaborate with business stakeholders, data engineers, and application teams to gather requirements and deliver data solutions
• Lead data migration and modernization initiatives from on-premises to Azure
• Design data models, master data domains, hierarchies, and stewardship workflows
• Implement data quality, metadata management, lineage, and governance processes
• Provide technical leadership, architecture reviews, and best practice recommendations
• Ensure security, scalability, reliability, and performance of data platforms

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed