Data Architect - Power & Utilities - Manager - Consulting - Location OPEN

About the role

EY is seeking a Manager with a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, 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.

Responsibilities

• Help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector.
• Lead and develop your skill set to keep up with the ever-growing demands of the modern data platform.
• Solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients.
• Lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes.
• Manage timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure.
• Propose solutions to technical constraints using project and program delivery methods, including Agile and Waterfall.

Requirements

• A Bachelor’s degree required in STEM.
• 8+ years professional consulting experience in industry or in technology consulting.
• 8+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
• 3+ years’ experience with native cloud products and services such as Azure or GCP.
• 5+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
• Profound experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
• Experience leading Infrastructure and Security engineers and architects in overall platform build.
• Excellent leadership, communication, and project management skills.

Qualifications

• Bachelor’s degree required in STEM.
• 8+ years professional consulting experience in industry or in technology consulting.
• 8+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
• 3+ years’ experience with native cloud products and services such as Azure or GCP.
• 5+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
• Profound experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
• Experience leading Infrastructure and Security engineers and architects in overall platform build.
• Excellent leadership, communication, and project management skills.

Skills

• Applications Integration
• Cloud Computing and Cloud Computing Architecture
• Data Architecture Design and Modelling
• Data Integration and Data Quality
• AI/Agentic AI driven data operations
• Experience delivering business use cases in Transmission / Distribution / Generation / Customer

Benefits

Base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261.600.

Pay

The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261.600.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

Additional Information

FY27NATAID