Data Architect - Power & Utilities - Manager - Consulting - Location OPEN
About The Position
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, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. 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. You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing 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. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
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.
- 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.
- Excellent leadership, communication, and project management skills.
- Data Security and Database Management
- Enterprise Data Management and Metadata Management
- Ontology Design and Systems Design
Nice To Haves
- 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
- Solid experience in the utilities sector
- 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
- Having delivered business use cases in Transmission / Distribution / Generation / Customer
- History of working for consulting companies
- Well-versed in the fast-paced culture of consulting work
- Technical 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.
- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
- Emotional agility and hybrid collaboration skills
Responsibilities
- Effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management.
- Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
- Managing professional employees or supervising team members to deliver complex technical initiatives, applying depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.
- Design, architect, and present findings and solutions related to data architecture and data engineering.
- Lead more junior team members and work with a wide variety of clients to sell and lead delivery of technology consulting services.
- Serve as the go-to resource for understanding clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies.
- Help to win new business for EY.
- Act as a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations.
- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering 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 in data architecture and management, recommending innovations and improvements to enhance our capabilities.
- Lead Infrastructure and Security engineers and architects in overall platform build.
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- Wide range of paid time off options
- Flexible vacation policy
- Designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
- Other leaves of absence when needed to support your physical, financial, and emotional well-being
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
