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

EY

Jericho (NY)

Hybrid

USD 172,800 - 374,000

Full time

14 days+

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Benefits offered by this job

Comprehensive compensation package
Flexible vacation policy
Medical and dental coverage

Job summary

EY is seeking experienced leaders in the Power & Utilities sector. You will leverage your deep expertise to help clients achieve better business outcomes and drive technology initiatives. In this iconic role, you'll develop innovative solutions and manage teams to deliver complex projects with emphasis on quality and performance.

The ideal candidate should possess a strong technical background, ideally with experience in a consulting environment, and be proficient in data integration, architecture, and cloud computing technologies.

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 such as Azure or GCP.

Responsibilities

  • Lead and develop solutions in the Power & Utilities sector.
  • Drive continuous process improvement and innovate through best practices.
  • Manage the delivery of projects while ensuring quality and risk management.

Skills

Applications integration
Cloud computing and architecture
Data architecture design and modelling
Strong relationship management
Business development skills

Education

Bachelor's degree in STEM

Tools

Python
Java
Kubernetes
Docker
Git

Job description

EY is seeking experienced leaders in the Power & Utilities sector. You will leverage your deep expertise to help clients achieve better business outcomes and drive technology initiatives. In this iconic role, you'll develop innovative solutions and manage teams to deliver complex projects with emphasis on quality and performance.

The ideal candidate should possess a strong technical background, ideally with experience in a consulting environment, and be proficient in data integration, architecture, and cloud computing technologies.

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