Director, Data Engineer - PGIM Technology; Hybrid - Newark, NJ
Job in
Newark, Essex County, New Jersey, 07175, USA
Listed on 2026-06-17
Listing for:
Prudential Annuities Distributors (PAD)
Full Time
position Listed on 2026-06-17
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Azure
Job Description & How to Apply Below
Job Summary
As the Director, Data Lead for the PGIM Product Technology, the incumbent will lead data engineering and AI initiatives within Microsoft Fabric and Azure services.
Responsibilities- Design and implement configurable data ingestion ETL framework, ensuring data quality, transformation, and modeling.
- Implement lakehouse solutions using Microsoft Fabric and Azure services.
- Develop and deploy data integration solutions, including ingestion, transformation, and delivery to consumers within Microsoft Fabric.
- Work with infrastructure and Dev Ops teams to build CI/CD pipelines extendable organization-wide.
- Architect BI solutions with Power BI, ensuring seamless data integration for analytics and reporting.
- Design and build AI solutions leveraging search, embeddings, retrieval, ranking, and Retrieval‑Augmented Generation (RAG).
- Set up an AI roadmap for service delivery to consuming systems and stakeholders.
- Establish workspace architecture strategy, building data warehouse and lakehouse solutions for data sharing while maintaining security and governance.
- Lead a small team to design, build, and monitor data and AI solutions, enforcing best practices for security, compliance, scalability, reliability, and performance.
- Serve as subject‑matter expert on Fabric, providing hands‑on training and mentorship to teams.
- Maintain comprehensive documentation (playbooks) covering architectures, processes, and procedures.
- Collaborate with business and technology partners to gather requirements and translate them into scalable Microsoft Fabric solutions.
- Continuously seek new knowledge, adopt emerging technologies, and share insights with the engineering community.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering or related discipline.
- 10+ years of cloud computing experience with Microsoft Azure, including migrations, integrations, and deployments.
- 10+ years of experience as a Data Architect, designing, managing, and deploying client solutions.
- Strong knowledge of Azure services (Synapse Analytics, Data Factory, Storage Accounts, Logic Apps, Functions, SQL Database, Active Directory, Dev Ops, Monitor, etc.).
- Deep understanding of Fabric workloads:
Notebooks, Deployment Pipelines, Workspace architecture and security, Data Warehouse/Lakehouse Architecture, Semantic Model, Data Flow, Data Activator, AI Skills, Copilot, and Power BI integration. - Experience building intelligent applications with Azure AI Foundry, Prompt Orchestration, Azure AI Search, and agent orchestration for GenAI use cases.
- Proficiency with CI/CD pipelines using Git Hub Actions in Azure environments.
- Proven ability to implement data governance (Purview), security (One Lake), retention schedules, and audit compliance.
- Experience in .NET architecture and development on Azure platform services.
- Track record of delivering multiple concurrent, overlapping projects on‑time, on budget, and within scope.
- Leadership experience driving business outcomes in technical teams.
- Financial Services experience, especially in Asset Management, institutional or mutual funds (preferred).
- Excellent communication, collaboration, and problem‑solving skills.
- Preferred Microsoft certifications:
Azure Solutions Architect Expert, Azure Developer Associate, Azure Administrator Associate, Azure Data Engineer, Fabric Engineer, Power BI Data Analyst.
PGIM welcomes all applicants, even if not all requirements are met. If your skills align with the role, we encourage you to apply.
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, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. For accommodations, email acc For technical assistance, email careers.te
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