EY
Data Architect - Power & Utilities - Manager- Consulting - Location OPEN
EY, Austin, Texas, us, 78716
Data Architect - Power & Utilities - Manager- Consulting
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.
Overview AI & Data - Data Architecture – Manager – Power & Utilities Sector.
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 a proven record of delivering business use cases in Transmission/Distribution/Generation/Customer. The ideal candidate will have a history of working for consulting firms 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.
Key Responsibilities As Data Architect – Manager, you will:
Drive the effective management and delivery of processes, solutions, and projects with a focus on quality and risk management.
Apply your expertise to guide and mentor junior team members and interpret internal/external issues to recommend solutions.
Design, architect, and present data solutions, leading delivery of technology consulting services.
Serve as a trusted advisor, winning new business for EY and engaging senior decision makers.
Collaborate with cross‑functional teams to define data requirements, design solutions, and implement data strategies aligned with client objectives.
Organize and lead workshops and design sessions with stakeholders.
Lead the 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, including security, quality and lifecycle management.
Skills and Attributes for Success
Technical skills: Applications integration, cloud computing, data architecture design and modelling, data integration and quality, AI/Agentic AI driven data operations.
Experience delivering business use cases in Transmission/Distribution/Generation/Customer.
Trusted advisor to senior clients and internal EY teams on data strategy.
Engage with senior leaders to shape goals and analytic requirements.
Collaboration with cross‑functional teams (Data Scientists, Business Analysts, IT).
Workshop and design session facilitation.
Lead modern data architecture design and implementation.
Mentor global data architecture and engineering teams.
Establish data governance, security and quality policies.
Stay abreast of industry trends and recommend innovations.
Qualifications
Bachelor’s degree required in STEM.
8+ years professional consulting experience.
8+ years hands‑on experience architecting, designing, delivering or optimizing data lake solutions.
3+ years experience with native cloud products (Azure or GCP).
5+ years experience mentoring and leading data architecture and engineering teams.
In‑depth knowledge of data architecture principles and best practices.
Experience leading large data engineering teams to design and build complex platforms.
Hands‑on experience designing end‑to‑end architectures and pipelines.
Proficiency in data modelling and design patterns (Data Fabrics, Data Mesh, Lake Houses, Delta Lakes).
Manage complex data analysis, migration and integration projects.
Prior coding skills in Python, Java or Scala.
Ability to design scalable data solutions.
Experience with Docker, Kubernetes, Git, and DevOps practices.
Understanding of data encryption, access control and security best practices.
Leadership, communication and project management skills.
Ideal
Master’s degree in Electrical / Power Systems Engineering, Computer Science, Statistics, Applied Mathematics, Data Science, Machine Learning or related professional experience.
Experience working at a Big 4 or major utility.
Experience with cloud data platforms like Databricks.
Strong mentorship and professional development focus.
Passion for innovation and strategic application of emerging technologies.
Fosters an inclusive environment, values diverse perspectives.
What We Offer
Comprehensive compensation and benefits package; base salary $125,500–$230,200 (US). Additional benefits include medical, dental, pension, 401(k) and paid time off.
Hybrid work model with expectation of in‑person collaboration 40‑60% of the time.
Flexible vacation policy with EY paid holidays, break periods and personal/family care leaves.
Apply today to shape your future with confidence.
EY accepts applications on an on‑going basis.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status or any other legally protected basis, in accordance with applicable law.
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At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.
Overview AI & Data - Data Architecture – Manager – Power & Utilities Sector.
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 a proven record of delivering business use cases in Transmission/Distribution/Generation/Customer. The ideal candidate will have a history of working for consulting firms 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.
Key Responsibilities As Data Architect – Manager, you will:
Drive the effective management and delivery of processes, solutions, and projects with a focus on quality and risk management.
Apply your expertise to guide and mentor junior team members and interpret internal/external issues to recommend solutions.
Design, architect, and present data solutions, leading delivery of technology consulting services.
Serve as a trusted advisor, winning new business for EY and engaging senior decision makers.
Collaborate with cross‑functional teams to define data requirements, design solutions, and implement data strategies aligned with client objectives.
Organize and lead workshops and design sessions with stakeholders.
Lead the 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, including security, quality and lifecycle management.
Skills and Attributes for Success
Technical skills: Applications integration, cloud computing, data architecture design and modelling, data integration and quality, AI/Agentic AI driven data operations.
Experience delivering business use cases in Transmission/Distribution/Generation/Customer.
Trusted advisor to senior clients and internal EY teams on data strategy.
Engage with senior leaders to shape goals and analytic requirements.
Collaboration with cross‑functional teams (Data Scientists, Business Analysts, IT).
Workshop and design session facilitation.
Lead modern data architecture design and implementation.
Mentor global data architecture and engineering teams.
Establish data governance, security and quality policies.
Stay abreast of industry trends and recommend innovations.
Qualifications
Bachelor’s degree required in STEM.
8+ years professional consulting experience.
8+ years hands‑on experience architecting, designing, delivering or optimizing data lake solutions.
3+ years experience with native cloud products (Azure or GCP).
5+ years experience mentoring and leading data architecture and engineering teams.
In‑depth knowledge of data architecture principles and best practices.
Experience leading large data engineering teams to design and build complex platforms.
Hands‑on experience designing end‑to‑end architectures and pipelines.
Proficiency in data modelling and design patterns (Data Fabrics, Data Mesh, Lake Houses, Delta Lakes).
Manage complex data analysis, migration and integration projects.
Prior coding skills in Python, Java or Scala.
Ability to design scalable data solutions.
Experience with Docker, Kubernetes, Git, and DevOps practices.
Understanding of data encryption, access control and security best practices.
Leadership, communication and project management skills.
Ideal
Master’s degree in Electrical / Power Systems Engineering, Computer Science, Statistics, Applied Mathematics, Data Science, Machine Learning or related professional experience.
Experience working at a Big 4 or major utility.
Experience with cloud data platforms like Databricks.
Strong mentorship and professional development focus.
Passion for innovation and strategic application of emerging technologies.
Fosters an inclusive environment, values diverse perspectives.
What We Offer
Comprehensive compensation and benefits package; base salary $125,500–$230,200 (US). Additional benefits include medical, dental, pension, 401(k) and paid time off.
Hybrid work model with expectation of in‑person collaboration 40‑60% of the time.
Flexible vacation policy with EY paid holidays, break periods and personal/family care leaves.
Apply today to shape your future with confidence.
EY accepts applications on an on‑going basis.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status or any other legally protected basis, in accordance with applicable law.
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