Lead, Data Engineer - PGIM Private Capital (Hybrid - Newark, NJ)

Prudential Financial • Newark, NJ

20h • Hybrid

About The Position

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: 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.

Requirements

• 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

Nice To Haves

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

Responsibilities

• 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 lakehouses 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.

Benefits

• Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees