Lead, Data Engineer - Private Capital; Hybrid - Newark, NJ

Overview

Job Classification:
Technology - Engineering & Cloud

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!

As part of the PPC Information Technology & Services team, we support PGIM Private Capital with both vendor and internally designed applications, processes and reporting. We are looking for an astute, determined professional like you to fulfill a Lead Data Engineer role on this team. You will showcase your success through collaboration, ownership and innovation. Your knowledge in emerging trends and practices will evoke stimulating discussions around optimization and change to help keep our competitive edge.

In this role, you will be responsible for developing, maintaining, and optimizing our data pipelines, architectures, and data sets. You will work closely with our team of business analysts and data engineers to ensure that our data solutions are robust, scalable, and aligned with business objectives.

This rewarding opportunity will enable you to have an impact in our organization, so if this sounds exciting, then PGIM Private Capital might be the place.

• Lead and mentor data engineers and data modelers on the team.
• Collaborate strategically with business partner to gather requirements and provide data-driven insights and solutions.
• Implement and maintain data engineering best practices for stability and scalability.
• Develop and implement a production support plan that conveys urgency and trust.
• Design, implement, and optimize highly scalable data ingestion and processing pipelines with Azure Data Factory, Dataflow Gen2, and other services in Fabric.
• Architect and maintain data models and lake houses using Data Vault 2.0 and Medallion architectures.
• Develop semantic models and reports using Power BI.
• Act as responsible data stewards to ensure data integrity, compliance, and trust.

• Bachelor’s degree or above in Computer Science, Engineering, or a related field.
• Previous experience leading data engineers.
• Strong proficiency with Azure cloud services such as Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Databricks.
• Experience with SQL and common data science toolkits.
• Proficiency in programming languages such as Python or Scala.
• Strong problem-solving skills and ability to work in a dynamic and agile environment.
• Excellent communication and teamwork skills.
• Knowledge of development methodologies (Agile, Scrum, etc.) is a plus.

• Fabric knowledge and exposure
• Apache Spark
• Data Lakehouse
• Investment Management Industry or Fintech experience

At PGIM Private Capital (PPC), expertise, analysis, and experience drive everything we do. We strategically target select global markets to offer unique deal flow to investors and prospective issuers. Our team is comprised of bright, focused professionals who collaborate at all levels to manage originations and a private debt portfolio across investment grade, high yield and mezzanine investments. We invest in the potential of our employees by offering them large-scope, small-team emphasis on collaboration, and commitment to a healthy balance between a professional and personal life.

We challenge you as an individual so you can make real contributions while you grow your capabilities.

PGIM is proud of its distinctive and inclusive culture, with a sound reputation for the pedigree and professionalism of its employees. PGIM has a feeling of quality and stability,…