Data Architect - Power & Utilities - Manager- Consulting

Overview

Data Architect - Power & Utilities – Manager – Consulting. Location OPEN. EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Manager who possesses a robust background in Data Architecture, Data Modernization, end-to-end data capabilities, AI, Gen AI, and Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer.

The role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data-ready architectures. You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. This is a high-growth, high-visibility role with opportunities to enhance your skillset and advance your career.

As a Manager in Data Architecture, you will lead transformative technology projects and programs aligned with EY’s strategy, providing assurance on timelines, costs, and quality, and guiding both technical and non-technical teams in delivering cutting-edge technology solutions and infrastructure. Your expertise in project and program delivery methods (Agile and Waterfall) will be instrumental in coaching others and solving technical constraints.

• Lead the effective management and delivery of one or more processes, solutions, and projects with a focus on quality and risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Manage professional staff or supervise team members to deliver complex technical initiatives and guide others in problem-solving and solution design.
• Design, architect, and present findings and solutions for data architecture and data engineering; lead junior team members and work with a variety of clients to sell and deliver technology consulting services.
• Serve as a trusted advisor with a broad understanding of digital transformation, analytic technology landscape, industry trends, and client motivations; engage with senior leaders to shape goals and information needs.
• Lead workshops and design sessions with stakeholders to capture requirements, understand use cases, and align on data architecture strategies and projects.
• Design and implement modern data architectures supporting transactional, operational, analytical, and AI solutions.
• Direct and mentor global data architecture and engineering teams; foster a culture of innovation, collaboration, and continuous improvement.
• Establish data governance policies and practices, including data security, quality, and lifecycle management; stay abreast of industry trends and emerging technologies.

• A Bachelor’s degree in STEM is required.
• 8+ years of professional consulting experience in industry or technology consulting.
• 8+ years of hands-on experience in architecting, designing, delivering, or optimizing data lake solutions.
• 3+ years’ experience with native cloud products and services (e.g., Azure or GCP).
• 5+ years of experience mentoring and leading teams of data architects and data engineers.
• In-depth knowledge of data architecture principles and best practices (data modeling, data warehousing, data lakes, data integration).
• Experience leading large data engineering teams to design and build platforms with complex architectures and diverse features.
• Hands-on experience in end-to-end data pipelines and data delivery architectures; proficiency in data modeling and architectural patterns (Data Fabrics, Data Mesh, Lake Houses, Delta Lakes).
• Experience with containerization (Docker) and orchestration (Kubernetes); knowledge of Dev Ops practices for automating data workflows (Data Ops).
• Proficiency in programming languages used in data engineering (Python, Java, or Scala); experience with version control systems (Git).
• Understanding of data security, access control, and privacy best practices; experience leading Infrastructure and Security engineers.
• Excellent leadership, communication, and project management skills; experience with data governance, metadata management, and enterprise data…