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

About the role

EY is seeking a Senior Manager with solid experience in the utilities sector to serve as a Data Architect. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This 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.
• Be face to face with external clients and build new and existing relationships in the sector.
• Apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.

Requirements

• A Bachelor’s degree required in STEM.
• 12+ years professional consulting experience in industry or in technology consulting.
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
• 8+ 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.
• Demonstrated 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.
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
• Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
• 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.
• Data Security and Database Management
• Enterprise Data Management and Metadata Management
• Ontology Design and Systems Design

Qualifications

• A Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
• Experience working at big 4 or a major utility.
• Experience with cloud data platforms like Databricks.
• Experience in leading and influencing teams, with a focus on mentorship and professional development.
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
• Building and Managing Relationships
• Client Trust and Value and Commercial Astuteness
• Communicating With Impact and Digital Fluency

Benefits

To qualify for the role, you must have:

• A Bachelor’s degree required in STEM.
• 12+ years professional consulting experience in industry or in technology consulting.
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
• 8+ 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.
• Demonstrated 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.
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
• Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
• 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.
• Data Security and Database Management
• Enterprise Data Management and Metadata Management
• Ontology Design and Systems Design

Pay

The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

We offer a flexible vacation policy where you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.