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

EY; Baton Rouge (LA); Hybrid; USD 144,000 - 329,100; Full time

Benefits offered by this job

Comprehensive compensation and benefits package

Flexible vacation policy

Medical and dental coverage

401(k) and pension

Job summary

EY is seeking a data architecture expert to help clients achieve better business outcomes in the Power & Utilities sector. You will manage projects, lead teams, and design modern data solutions while engaging with senior decision makers.

With a focus on quality and risk management, this role offers opportunities for continuous improvement and professional development in a dynamically evolving environment. Applicants should have a Bachelor’s degree in STEM and extensive experience in data engineering.

Qualifications

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

Responsibilities

• Manage and deliver processes, solutions, and projects focusing on quality.
• Drive continuous process improvement and identify innovative solutions.
• Lead teams to design and implement data architectures.

Skills

Applications integration

Cloud computing and architecture

Data architecture design and modelling

Data integration and data quality

AI/Agentic AI driven data operations

Relationship management

Business development

Education

Bachelor’s degree in STEM

Tools

Python

Java

Scala

Docker

Kubernetes

Git

Job description

EY is seeking a data architecture expert to help clients achieve better business outcomes in the Power & Utilities sector. You will manage projects, lead teams, and design modern data solutions while engaging with senior decision makers.

With a focus on quality and risk management, this role offers opportunities for continuous improvement and professional development in a dynamically evolving environment. Applicants should have a Bachelor’s degree in STEM and extensive experience in data engineering.