Azure Data Architect

Data Architect

Fabric, Synapse, PySpark, New Data Lake, Data warehouse

PGIM

Newark, NJ

Pay Rate

- $65/hr on W2

12-15 yrs exp

Job Description

We are seeking an experienced Data Architect with strong expertise in Microsoft Fabric, Azure Synapse, and PySpark to design and implement scalable enterprise data solutions. The ideal candidate will have extensive experience building modern Data Lake and Data Warehouse platforms within cloud environments.

The candidate will work closely with business stakeholders, data engineers, analytics teams, and architects to deliver high-performance data solutions that support enterprise reporting, analytics, and business intelligence initiatives.

Key Responsibilities

• Design and develop scalable enterprise data architecture solutions
• Build and manage modern Data Lake and Data Warehouse platforms
• Architect data solutions using Microsoft Fabric and Azure Synapse Analytics
• Develop and optimize data pipelines using PySpark
• Implement ETL/ELT frameworks and data integration processes
• Create data models for analytics and reporting requirements
• Ensure data quality, governance, scalability, and security standards
• Collaborate with cross-functional teams to support business requirements
• Optimize performance for large-scale data processing environments
• Provide technical leadership and best practices for cloud data architecture

Required Skills

• Strong experience with Microsoft Fabric
• Hands-on expertise in Azure Synapse Analytics
• Strong programming experience with PySpark
• Experience designing and implementing Data Lakes
• Strong knowledge of Data Warehouse concepts and architecture
• Expertise in ETL/ELT, data modeling, and big data technologies
• Experience with Azure cloud services and enterprise data platforms
• Strong analytical and problem-solving skills

Preferred Qualifications

• Experience in Financial Services, Insurance, or Capital Markets domain
• Knowledge of modern BI and analytics platforms
• Strong communication and stakeholder management skills

Experience leading enterprise-level data initiatives