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Data Architect - Power & Utilities - Manager- Consulting

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: EY
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Architect - Power & Utilities - Manager- Consulting - Location OPEN

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, 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.

The

Opportunity

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.

Your

Key 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.
  • Manage professional employees or supervise 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, leading more junior team members and working with a wide variety of clients to sell and lead delivery of technology consulting services.
  • Act as a trusted advisor with broad understanding of digital transformation initiatives, analytic technology landscape, industry trends, client motivations, and engage with C‑level executives.
Skills And Attributes For Success
  • Technical skills in Applications Integration, Cloud Computing Architecture, Data Architecture Design & Modelling, Data Integration & Quality, AI‑driven data operations.
  • Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
  • Trusted advisor to senior decision makers and internal EY teams.
  • Engage with senior business leaders to understand goals and analytic requirements.
  • Collaborate across cross‑functional teams to define data requirements, design solutions, and implement data strategies.
  • Organize and lead workshops and design sessions with stakeholders.
  • Lead design and implementation of modern data architectures for transactional, operational, analytical, and AI solutions.
  • Direct and mentor global data architecture and engineering teams.
  • Establish data governance policies and practices.
  • Stay abreast of industry trends and emerging technologies, recommending innovations and improvements.
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.
  • In-depth knowledge of data architecture principles and best practices.
  • Demonstrated experience leading large data engineering teams to design and build platforms with complex architectures.
  • Hands‑on experience designing end‑to‑end architectures and pipelines.
  • Proficiency in data modelling techniques and architectural design patterns.
  • Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms.
  • Hands‑on coding skills in Python, Java, or Scala.
  • Experience with containerization technologies and orchestration platforms.
  • Experience with version control systems and Dev Ops practices.
  • Practical understanding of data encryption, access control, and security best practices.
  • Experience leading infrastructure and security…
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