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# Azure Data Architect

- **Company:** RAPS Consulting Inc
- **Location:** Newark, NJ, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Distributed Systems, Performance Tuning, SQL Databases, Enterprise Data Management, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Integration Frameworks, Data Management, Azure Synapse Analytics, Data Pipelines
- **Published:** June 4, 2026
- **Apply:** https://www.dice.com/job-detail/69ca9e0f-9393-48ea-a7e6-3b6b30ca9552

## About the Role

* 12-15 years of overall IT experience in Data Engineering/Data Architecture
 * Strong hands-on experience with Microsoft Fabric
 * Expertise in Azure Synapse Analytics
 * Strong programming experience with PySpark
 * Experience designing and implementing Enterprise Data Lakes
 * Strong knowledge of Data Warehouse concepts and architecture
 * Experience with ETL/ELT pipelines and large-scale data processing
 * Expertise in data modeling, performance tuning, and optimization
 * Experience working with cloud platforms, preferably Azure
 * Strong understanding of SQL, distributed computing, and data governance, * Experience in Financial Services or Investment domain is a plus
 * Strong communication and stakeholder management skills
 * Azure certifications preferred

## Description

We are seeking an experienced Data Architect with strong expertise in Azure, Microsoft Fabric, Azure Synapse, PySpark, Data Lake, and Data Warehouse architecture. The ideal candidate will be responsible for designing scalable enterprise data solutions, modernizing data platforms, and enabling advanced analytics capabilities., * Design and architect scalable data platforms using Fabric and Synapse

 * Build and optimize modern Data Lake and Data Warehouse solutions
 * Develop PySpark-based data processing frameworks and pipelines
 * Collaborate with business and technical teams for data integration and analytics needs
 * Ensure data quality, security, governance, and performance best practices
 * Lead data modernization and migration initiatives
 * Support reporting, analytics, and AI/ML data requirements


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