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

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

Benefits offered by this job

Flexible vacation policy

Comprehensive benefits package

401(k) and pension plan

Job summary

EY is looking for an experienced professional to join their data architecture team. This role involves managing complex projects and leading coordination across various teams to deliver innovative data solutions. You will work directly with clients, helping them to leverage data for business transformation.

Requirements include a Bachelor’s degree in STEM, extensive experience in data architecture, cloud solutions, and mentoring teams. The position is hybrid with a comprehensive benefits package and a focus on individual performance and career development.

Qualifications

• 12+ years professional consulting experience in industry or technology consulting.
• 12+ years hands-on experience in architecting data lake solutions.
• 8+ years of experience mentoring teams of data architects and engineers.
• In-depth knowledge of data architecture principles.
• Ability to design data solutions that scale and optimize performance.

Responsibilities

• Lead and manage processes, solutions, and projects.
• Drive continuous process improvement through innovative solutions.
• Communicate with C-level clients and engage senior decision makers.
• Mentor global data architecture teams.
• Establish data governance policies.

Skills

Data architecture design and modelling

Cloud computing and architecture

Applications integration

AI-driven data operations

Relationship management

Education

Bachelor’s degree in STEM

Tools

Python

Java

Kubernetes

Docker

Git

Job description

EY is looking for an experienced professional to join their data architecture team. This role involves managing complex projects and leading coordination across various teams to deliver innovative data solutions. You will work directly with clients, helping them to leverage data for business transformation.

Requirements include a Bachelor’s degree in STEM, extensive experience in data architecture, cloud solutions, and mentoring teams. The position is hybrid with a comprehensive benefits package and a focus on individual performance and career development.