Data & Analytics Principal Technology Architect

Public Service Enterprise Group - Newark, NJ

Full-time - Senior

Remote - Newark, NJ

10,001+ employees

Utilities

About the position

The Principal Technology Architect - Data and Analytics at PSEG Services Corp. is responsible for defining and delivering data and analytics solutions that align with the overall IT strategy and business objectives. This role involves serving as the Lead Architect on major data and analytics programs, collaborating with stakeholders to create data architectures, and ensuring the quality and effectiveness of data solutions. The position requires a deep understanding of business processes and data technologies, and it reports directly to the Director of Analytics Architecture and Solutions.

Responsibilities

• Partner and collaborate with stakeholders to translate goals into data & analytics architectures and models.
• Lead the data design of solutions for analytics projects and programs across applications and infrastructure.
• Create and maintain reusable analytics artifacts and patterns, including data models and architectures.
• Develop data & analytics policies, standards, guidelines, and metrics to measure architectural quality.
• Engage with implementation teams to promote the use of existing models and services for faster technology delivery.
• Research architectural paradigms and modern constructs to inform technology architecture decisions.
• Ensure compatibility with existing solutions and strategic requirements.
• Direct large specialist teams in delivering comprehensive analytics and data-centric projects.
• Communicate objectives and business outcomes of data & analytics technology architecture to stakeholders.
• Support evaluation and decision-making in data & analytics technology spending.

Requirements

• Bachelor's degree in business, computer science, computer engineering, electrical engineering, system analysis, or a related field.
• 8-15 years of experience in technology solution engineering, including disciplines like architecture, application development, and database management.
• Broad knowledge of data modeling, metadata systems, and data quality tools.
• Experience with data lakes, data warehousing, and cloud-based deployments.
• Strong understanding of data management and integration techniques.
• Demonstrated leadership capabilities in data & analytics architecture ownership.
• Excellent analytical, technical, written, verbal, and presentation skills.

Nice-to-haves

• Experience with ETL and business intelligence tools.
• Knowledge of continuous delivery processes and microservices.

Benefits

• Medical, vision, and dental insurance starting on day one.
• 401(k) retirement program with company match.
• Company-paid life insurance.
• Tuition reimbursement.
• Minimum of 18 days of paid time off per year.