Director, Data Engineer - PGIM Technology (Hybrid - Newark, NJ)

Posted 10 Days Ago
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Newark, NJ, USA
In-Office
170K-225K Annually
Expert/Leader
Financial Services
The Role
Lead design and delivery of Microsoft Fabric and Azure-based data lakehouse and warehouse solutions. Own data ingestion, ETL, modeling, governance, security, CI/CD, and Power BI integration. Architect GenAI/RAG solutions, mentor a small engineering team, define standards and playbooks, and partner with business and tech stakeholders to execute multiple concurrent implementations.
Summary Generated by Built In

Job Classification:

Technology - Engineering & Cloud

What you will do

As the Director, Data Lead for the PGIM Product Technology, you will engage in requirements gathering, lead design, architect and partner with business owners, technology leads and engineering teams to support shift to Microsoft cloud platforms for data processing and management. This candidate will work to define and enforce standards while also overseeing end-to-end data engineering including sourcing, modeling, security, governance, and business intelligence functions. You will design and lead engineers to implement solutions in accordance with industry best practices. Your expertise in data processing and data analytics using the Microsoft Fabric platform will be crucial in delivering successful data solutions. The candidate will play a key role to bridge solutions, communication, timelines, and challenges/solutions to project stakeholders for multiple, concurrent overlapping implementation initiatives.

This role is based in 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. This position is hybrid and requires your on-site presence on a reoccurring weekly basis 3 days per week.

What you can expect:  

  • Design and Implement Configurable Data Ingestion ETL framework including Data Quality, transformation and modelling. Implement Lakehouse solutions using Microsoft Fabric and paving the road to PGIM future state using Azure services and Fabric Infrastructure.
  • Develop and deploy data integration solutions, including data ingestion, transformation, and delivery to consumers within Microsoft Fabric, while utilizing optimal storage formats and layers.
  • Work with Infrastructure/Devops teams to come up with CI/CD pipelines as a framework that can be extended across organization.  
  • Architect solutions that incorporate BI tools like Power BI ensuring seamless data integration for analytics and reporting.
  • Ensure data accuracy, consistency, and integrity across the data warehouse ecosystem by crafting robust solution designs.
  • Design and Build AI solutions leveraging search, embeddings, retrieval, ranking and Retrieval-Augmented Generation (RAG).
  • Set up roadmap for AI as a service to consuming systems and business stakeholders.
  • Establish a workspace architecture strategy through design and implement of data warehouse and lakehouse solutions allowing data sharing between different teams avoiding duplication, yet adhering to security and governance rules.
  • Lead a small team to design/build and monitor data and AI solutions.
  • Ensure teams follow best practices and standards for security, compliance, scalability, reliability, and performance.
  • Serve as SME in the Fabric space to technology partners, provide hands on training to development teams, and mentor business areas to maximize Fabric AI Capabilities.
  • Create and maintain comprehensive documentation (Playbooks) of solution architectures to internal and external stakeholders covering Data Fabric architecture, processes, and procedures.
  • Collaborate closely with our business and technology partners including data analysts, architects, engineers, and client stakeholders to gather requirements and translate them into scalable Microsoft Fabric solutions.
  • Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers.

What you will bring:

  • Bachelor’s or Master’s  degree in Computer Science, Data Engineering or related discipline.
  • 10+ years of experience in cloud computing with Microsoft Azure leading migrations, integrations, and deployments. 10+ years of experience as a Data Architect, with demonstrated expertise in designing, managing, and deploying client solutions.
  • Strong knowledge of Azure services and features including Azure Synapse Analytics, Azure Data Factory, Azure Storage Accounts, Azure Logic Apps, Azure Functions, Azure SQL Database, Azure Active Directory, Azure DevOps, Azure Monitor, etc.
  • Strong knowledge of Fabric workloads and features including Notebooks, Deployment Pipelines, Workspace architecture, Workspace Security, Data Warehouse/Lakehouse Architecture, Semantic Model, Data Factor, Data Flow, Data Activator, AI Skills, and Copilot, ultimately leading to AI capabilities in Power BI.
  • Build and deploy intelligent applications using Azure AI Foundry, leveraging prompt orchestration, grounding with Azure AI Search, and agent orchestration features for enterprise-scale GenAI use cases. Independently implement GenAI workflows using Foundry.
  • Proficient in CI/CD pipelines to deploy in azure environment using GitHub Actions.
  •  Proven ability to implement data governance tools (Purview preferred), data security (OneLake Security preferred), and compliance requirements like data retention schedules and audit.
  • Specific experience in .Net architecture, design, and development using Azure platform services. Must have the proven ability of delivering multiple concurrent, overlapping projects in a fast paced technology team on-time, on budget and within scope.
  • Experience in leading technical teams to drive business outcomes.
  • Financial Services experience working with Asset Management esp on Institutional funds and Mutual funds preferred.
  • Must come to this position with superior communication, collaboration, and problem-solving skills capable of conveying technical concepts to both technical and non-technical stakeholders.
  • Microsoft certifications in data-related fields are preferred, such as Azure Solutions Architect Expert, Azure Developer Associate, Azure Administrator Associate, Azure Data Engineer, Fabric Engineer, Power BI Data Ana

*PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply. 

Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The annual base salary range for this role is from $170,000 to $225,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.

What we offer you:
  • Market competitive base salaries, with a yearly bonus potential at every level. 

  • 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. 

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.  

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. 

Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. 

If you need an accommodation to complete the application process, please email [email protected]. 

 

If you are experiencing a technical issue with your application or an assessment, please email [email protected] to request assistance.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related discipline
  • 10+ years cloud computing experience with Microsoft Azure including migrations, integrations, and deployments
  • 10+ years experience as a Data Architect designing, managing, and deploying client solutions
  • Strong knowledge of Azure services (Synapse, Data Factory, Storage, Logic Apps, Functions, SQL DB, AAD, DevOps, Monitor)
  • Strong knowledge of Microsoft Fabric workloads and features (Notebooks, Deployment Pipelines, Workspace architecture/security, Lakehouse, Semantic Models, Data Flow, Data Activator, Copilot)
  • Experience designing and implementing data ingestion/ETL frameworks, data quality, transformation, and modeling
  • Experience building GenAI solutions using Azure AI Foundry, Azure AI Search, embeddings, RAG, and agent orchestration
  • Proficient in CI/CD pipelines for Azure deployments using GitHub Actions
  • Proven ability to implement data governance and security tools (Purview preferred, OneLake security)
  • Specific experience in .NET architecture, design, and development on Azure platform services
  • Experience leading technical teams and delivering multiple concurrent projects
  • Superior communication, collaboration, and problem-solving skills to convey technical concepts to varied stakeholders
  • Financial services experience (asset management, institutional funds, mutual funds)
  • Microsoft certifications in data-related fields (Azure Solutions Architect, Azure Data Engineer, Fabric Engineer, Power BI)

PGIM Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PGIM and has not been reviewed or approved by PGIM.

  • Healthcare Strength Health coverage includes comprehensive medical, dental, and vision options, complemented by behavioral health programs and wellness reimbursements. On-site fitness centers and health coaching further support physical and mental well-being.
  • Retirement Support Retirement programs feature a 401(k) with company match and a company-funded pension, with access to an employee stock purchase program. Student loan repayment assistance and savings plans add to long-term financial support.
  • Wellbeing & Lifestyle Benefits Work-life balance is reinforced by flexible/hybrid work options, paid holidays and sick allowances, and amenities like gym access, free parking, and an affordable cafeteria in some locations. Tuition reimbursement, commuter benefits, and broad work/life resources extend lifestyle support.

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The Company
Chicago, IL
3,593 Employees

What We Do

PGIM, the investment management business of Prudential Financial, Inc.* is a multi-manager that delivers industry-leading strategies and solutions to clients. Each business maintains its own investment process and culture, allowing for a singular focus on delivering investment returns for clients. The PGIM businesses offer investors a wide range of investment strategies across asset classes and geographies, including public equities, public and private fixed income, commercial mortgages and real estate. Clients of PGIM can rely on superior long-term performance, risk management expertise and innovative products to help them realize a wide range of business objectives. In addition, PGIM uses its collective knowledge and business expertise to work with public, private and non-profit sector partners to create solutions that address critical social issues that have an enduring impact. *Prudential Financial, Inc. of the United States is not affiliated in any manner with Prudential plc, incorporated in the United Kingdom or with Prudential Assurance Company, a subsidiary of M&G plc, incorporated in the United Kingdom.

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