Senior Data Architect — Automotive & Aerospace Innovation

EY; Tucson (AZ); Hybrid; USD 144,000 - 329,100; Full time

Benefits offered by this job

Comprehensive compensation and benefits package

Flexible vacation policy

401(k) plans

Job summary

EY is seeking a Senior Manager in Data Architecture based in the United States to lead transformative technology projects, focusing on data solutions that align with their organizational strategy. The role requires in-depth knowledge of data architecture principles and the ability to navigate complex technology landscapes.

The ideal candidate will have extensive experience in data engineering and strong leadership skills, ensuring high-quality outcomes in the rapidly growing automotive and aerospace sectors.

This position operates in a dynamic environment that offers opportunities for professional growth and development while collaborating with diverse teams to drive innovation.

Qualifications

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

Responsibilities

• Lead transformative technology projects aligning with organizational strategy.
• Manage timelines, costs, and quality for impactful outcomes.
• Drive continuous improvement in data architecture and engineering.

Skills

Technical Skills Applications Integration

Cloud Computing and Cloud Computing Architecture

Data Architecture Design and Modelling

Data Integration and Data Quality

AI/Agentic AI driven data operations

Relationship Management

Data Security and Database Management

Project Management

Education

Bachelor’s degree in STEM

Tools

Docker

Kubernetes

Job description

EY is seeking a Senior Manager in Data Architecture based in the United States to lead transformative technology projects, focusing on data solutions that align with their organizational strategy. The role requires in-depth knowledge of data architecture principles and the ability to navigate complex technology landscapes.

The ideal candidate will have extensive experience in data engineering and strong leadership skills, ensuring high-quality outcomes in the rapidly growing automotive and aerospace sectors.

This position operates in a dynamic environment that offers opportunities for professional growth and development while collaborating with diverse teams to drive innovation.