PGIM Fixed Income - Vice President, Senior Azure Data Architect (Hybrid, Newark, NJ)

Job Classification:

Technology - Engineering & Cloud

A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE

As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world.

We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers!  

If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today.

At PGIM, You Can!

What you will do

In PGIM Fixed Income, our technology group is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. We are in middle of a technology transformation to build a new platform on Microsoft Azure/Fabric platform from ground up. The ideal candidate for this role takes lead in designing and implementing the target state architecture on Azure/Fabric platform.  This would require expertise in multiple areas such as data architecture,  data engineering and data governance. Knowledge of financial services industry specifically in Fixed Income domain is highly preferred. If this sounds interesting, then PGIM could be the place for you.

This position will be performed from our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and/ from the office, as needed, based on demands of specific tasks or personal work preferences. Working from the office is encouraged when working on tasks that require a high degree of collaboration.

What you can expect

• Data Architecture Design: Design and implement cloud-based data solutions using Azure services, including Azure SQL Database, Azure Data Lake, Data Pipelines, and Azure Synapse Analytics.

• Performance Optimization: Optimize data pipelines for data ingestion, processing, and real-time analytics.

• Data Modeling and Integration: Develop and maintain data models, schemas, and data integration solutions. Create and manage data pipelines, ETL processes, and data transformation workflows.

• Solution Architecture: Collaborate with cross-functional teams to design end-to-end data solutions. Evaluate and recommend appropriate Azure services based on business needs.

• Cloud Migration and Modernization: Assist in migrating on-premises data systems to Azure. Modernize legacy data platforms by leveraging Azure services.

• Data Governance and Quality: Establish data governance practices, including data lineage, metadata management, and data cataloging. Monitor data quality and enforce data standards.

• Security and Compliance: Ensure data security, access controls, and compliance with industry standards. Implement encryption, authentication, and authorization mechanisms.

• Collaboration and Leadership: Work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and provide technical guidance and leadership in implementing cloud data solutions.

• Stay up to date with the latest cloud technologies, tools, and services, and evaluate their suitability for meeting business needs. Recommend and implement new technologies to enhance the organization's cloud data capabilities.

• Documentation and Communication: Document cloud data architectures, processes, and best practices. Effectively communicate complex technical concepts to both technical and non-technical stakeholders.

What you will bring

• 15+ of experience in data architecture, with at least 3+ years focused on Azure solutions. Proven track record of successful data architecture implementations.

• Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.

• 5+ years’ experience of working in Capital Market or Asset Management.

• 5+ years of experience developing pyspark/python.

• Strong understanding of data modeling, ETL processes, and data warehousing.

• Ability to lead technical discussions, mentor junior team members, and collaborate effectively with business stakeholders.

• Excellent communication skills to convey complex technical concepts to non-technical audiences.

• This is a senior-level position, requiring both technical depth and strategic thinking.