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!
Our Business : PGIM Investments is a diversified distributor of asset management capabilities, with over 100 actively managed funds globally. We are dedicated to helping clients tackle their toughest investment challenges and base the foundation of our investment strategy around collaboration and innovation.
At PGIM, You Can! What You Will Do As the Specialist, Microsoft Fabric for the Enterprise Data Management team within PGIM Investments, you will partner with business owners, technology leads, and solution architects to support shift to Microsoft cloud platforms for data processing and management.
This role is based in our office in Tampa, FL. 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 :
- Implement data warehouse and lakehouse solutions using Microsoft Fabric and related technologies.
- Architect solutions that incorporate BI tools like Power BI ensuring seamless data integration for analytics and reporting.
- Develop and deploy data integration solutions, including data ingestion, transformation, and delivery to consumers within Microsoft Fabric.
- Ensure data accuracy, consistency, and integrity across the data warehouse ecosystem helping implement robust solution designs.
- Support a workspace architecture strategy through design and implement of data warehouse and lakehouse solutions allowing data sharing between independent teams avoiding duplication, yet adhering to security and governance rules.
- Experience in designing and developing BI Solutions using Power BI to provide actionable insights.
- Knowledge of Semantic model, Power Query, SQL, DAX to create visualization dashboards.
- Deploy data integration solutions, including data ingestion, transformation, and delivery paving the road to PGIM Investments future state BI analytic solutions using Microsoft Azure services, Fabric infrastructure, and Power BI.
- 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 guidance to development teams, and mentor business areas to maximize Fabric AI Capabilities.
- Create and maintain comprehensive documentation (Playbooks) 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.
What you will bring :
Bachelor's degree in Computer Science, Data Engineering or related discipline.3 years of experience in cloud computing with Microsoft Azure supporting migrations, integrations, and deployments.3 years of experience Implementing Microsoft solutions, with demonstrated experience 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.Proficient in Azure DevOps for managing CI / CD pipelines, builds, and releases.Experience with data governance tools (Purview preferred), data security (OneLake Security preferred), and compliance requirements like data retention schedules and audit.Financial Services experience working with Mutual Fund, CEFs, ETFs, SMAs, and UCITS background 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 Analyst.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.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.
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