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

EY; Richmond (VA); Hybrid; USD 144,000 - 329,100; Full time

Benefits offered by this job

Comprehensive medical coverage

Flexible vacation policy

401(k) and pension plans

Paid time off options

Job summary

EY is seeking a skilled professional with extensive experience in data architecture and consulting to join their team. The position involves leading complex projects while driving innovation and quality improvements. The ideal candidate will have a minimum of 12 years of consulting experience, strong leadership abilities, and expertise in cloud technologies. This role offers a hybrid working model and a competitive salary range.

Successful applicants will thrive in a diverse environment and be central to shaping client solutions in the ever-evolving data landscape.

Qualifications

• 12+ years of professional consulting experience.
• 5+ years’ experience with native cloud products and services.
• 8+ years leading teams of data architects.

Responsibilities

• Lead and develop complex data architectures.
• Drive continuous process improvements.
• Deliver technology consulting services.

Skills

Data architecture design and modelling

Cloud computing and architecture

Data integration and data quality

AI/Agentic AI driven data operations

Strong relationship management

Collaborating with cross‑functional teams

Education

Bachelor’s degree in STEM

Master’s degree in related field

Tools

Docker

Kubernetes

Git

Job description

EY is seeking a skilled professional with extensive experience in data architecture and consulting to join their team. The position involves leading complex projects while driving innovation and quality improvements. The ideal candidate will have a minimum of 12 years of consulting experience, strong leadership abilities, and expertise in cloud technologies. This role offers a hybrid working model and a competitive salary range.

Successful applicants will thrive in a diverse environment and be central to shaping client solutions in the ever-evolving data landscape.