Senior Data Architect - Power & Utilities (AI/ML)

EY; Hoboken (NJ); Hybrid; USD 144,000 - 329,100; Full time

Benefits offered by this job

Comprehensive compensation package

Medical and dental coverage

Flexible vacation policy

Job summary

EY is seeking a professional in Hoboken, NJ to drive success in the Power & Utilities sector. This role focuses on managing processes and solutions while mentoring junior team members. You will engage with clients to deliver technology consulting services and facilitate innovative solutions to enhance their businesses.

The ideal candidate will possess a blend of deep technical expertise and strong business acumen, guiding clients through complex transformations and the evolving data landscape.

Qualifications

• 12+ years professional consulting experience in industry or technology consulting.
• 12+ years hands-on experience in architecting, designing, or delivering data lake solutions.
• 5+ years’ experience with native cloud products such as Azure or GCP.

Responsibilities

• Lead the management and delivery of processes, solutions, and projects.
• Drive continuous process improvement and identify innovative solutions.
• Communicate with senior decision makers and engage with C-level clients.

Skills

Applications integration

Cloud computing and architecture

Data architecture design and modelling

Data integration and data quality

AI/Agentic AI driven data operations

Strong relationship management

Business development

Data strategy

Analytic technology solutions

Mentoring and leadership

Education

Bachelor's degree in STEM

Master's degree in relevant field

Tools

Python

Java

Scala

Docker

Kubernetes

Git

Job description

EY is seeking a professional in Hoboken, NJ to drive success in the Power & Utilities sector. This role focuses on managing processes and solutions while mentoring junior team members. You will engage with clients to deliver technology consulting services and facilitate innovative solutions to enhance their businesses.

The ideal candidate will possess a blend of deep technical expertise and strong business acumen, guiding clients through complex transformations and the evolving data landscape.