EY
Data Architect - Power & Utilities - Manager- Consulting - Location OPEN
EY, Tulsa, Oklahoma, United States, 74145
Data Architect - Power & Utilities - Manager- Consulting - Location OPEN
Join EY in this role as a Data Architect Manager in the Power & Utilities Sector. The position is open for candidates located anywhere in the 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.
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.
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.
Your Key Responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will 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, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
Expert understanding of data architecture and data engineering, problem‑solving to design, architect, and present findings and solutions.
Leadership over junior team members, working with a wide variety of clients to sell and lead delivery of technology consulting services.
Trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations.
Capable of engaging with senior business leaders, shaping their goals and corresponding analytic requirements.
Collaboration with cross‑functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies.
Organization and leadership of workshops and design sessions with stakeholders to capture requirements and align on data architecture strategies and projects.
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.
Establishment of data governance policies and practices, including data security, quality, and lifecycle management.
Staying abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements.
Skills And Attributes For Success
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 data strategy and analytic technology solutions.
Engage with senior business leaders to understand and shape their goals, objectives, 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.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross‑functional partners.
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, recommending innovations and improvements.
To qualify for the role, you must have
A Bachelor’s degree in a STEM field.
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, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience leading large data engineering teams to design and build platforms with complex architectures and diverse features.
Hands‑on experience designing end‑to‑end architectures and pipelines that collect, process, and deliver data efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns.
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 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.
Experience with 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 experience.
Enterprise Data Management and Metadata Management experience.
Ontology Design and Systems Design experience.
Ideally, you’ll also have
Master’s degree in Electrical / Power Systems Engineering, Computer Science, Statistics, Applied Mathematics, Data Science, Machine Learning or a commensurate professional experience.
Experience working at Big 4 firms or a major utility.
Experience with cloud data platforms like Databricks.
Experience in leading and influencing teams, focusing on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Skills in building and managing relationships.
Client trust and value, and commercial astuteness.
Communicating with impact and digital fluency.
What We Look For We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
What We Offer You
Comprehensive compensation and benefits package, with base salary ranging from $125,500 to $230,200 (US) and additional benefits such as medical, dental, pension, 401(k) plans, and paid time off.
Hybrid model with flexibility to work remotely 40–60% of the time during engagements or projects.
Flexible vacation policy allowing you to decide how much vacation time you need, along with time off for EY paid holidays, winter/summer breaks, personal/family care, and other leaves.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, additional information is available online. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. Contact 1‑800‑EY‑HELP3 for assistance with the application process.
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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.
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.
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.
Your Key Responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will 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, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
Expert understanding of data architecture and data engineering, problem‑solving to design, architect, and present findings and solutions.
Leadership over junior team members, working with a wide variety of clients to sell and lead delivery of technology consulting services.
Trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations.
Capable of engaging with senior business leaders, shaping their goals and corresponding analytic requirements.
Collaboration with cross‑functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies.
Organization and leadership of workshops and design sessions with stakeholders to capture requirements and align on data architecture strategies and projects.
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.
Establishment of data governance policies and practices, including data security, quality, and lifecycle management.
Staying abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements.
Skills And Attributes For Success
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 data strategy and analytic technology solutions.
Engage with senior business leaders to understand and shape their goals, objectives, 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.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross‑functional partners.
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, recommending innovations and improvements.
To qualify for the role, you must have
A Bachelor’s degree in a STEM field.
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, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience leading large data engineering teams to design and build platforms with complex architectures and diverse features.
Hands‑on experience designing end‑to‑end architectures and pipelines that collect, process, and deliver data efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns.
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 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.
Experience with 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 experience.
Enterprise Data Management and Metadata Management experience.
Ontology Design and Systems Design experience.
Ideally, you’ll also have
Master’s degree in Electrical / Power Systems Engineering, Computer Science, Statistics, Applied Mathematics, Data Science, Machine Learning or a commensurate professional experience.
Experience working at Big 4 firms or a major utility.
Experience with cloud data platforms like Databricks.
Experience in leading and influencing teams, focusing on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Skills in building and managing relationships.
Client trust and value, and commercial astuteness.
Communicating with impact and digital fluency.
What We Look For We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
What We Offer You
Comprehensive compensation and benefits package, with base salary ranging from $125,500 to $230,200 (US) and additional benefits such as medical, dental, pension, 401(k) plans, and paid time off.
Hybrid model with flexibility to work remotely 40–60% of the time during engagements or projects.
Flexible vacation policy allowing you to decide how much vacation time you need, along with time off for EY paid holidays, winter/summer breaks, personal/family care, and other leaves.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, additional information is available online. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. Contact 1‑800‑EY‑HELP3 for assistance with the application process.
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