Senior Data Architect — Mobility, Auto & Aerospace

EY; Palo Alto (CA); Remote; USD 144,000 - 329,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Senior Manager in Data Architecture to lead end-to-end data capabilities for the automotive and aerospace sector. You will guide data architecture design, enable AI at scale, and manage complex multi-client programs across EY’s global teams.

Ideal candidates bring 12+ years in data consulting, cloud experience (Azure/GCP), and leadership in data engineering with a proven track record in delivering business use cases in finance or supply chain.

Qualifications

• Bachelor’s degree in STEM is required.
• 12+ years of professional consulting experience in industry or technology consulting.
• 12+ years hands-on experience in architecting data lake solutions.
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
• 8+ years mentoring and leading data architecture/engineering teams.
• Experience with data lake architectures, data warehousing, and data integration.
• Hands-on coding skills in Python, Java, or Scala.

Responsibilities

• Lead one or more processes, solutions, or projects with focus on quality and risk management.
• Design and implement modern data architectures supporting transactional, analytical, and AI use cases.
• Mentor global data teams and collaborate with cross-functional partners.
• Engage with senior leaders to shape goals and information needs.

Skills

Data Architecture

Data Engineering

AI/Agentic AI

Cloud Computing

Leadership

Client Relationship

Project Management

Data Governance

Data Modeling

Data Security

Education

Bachelor’s degree in STEM

Master’s degree (preferred)

Tools

Azure

GCP

Databricks

Docker

Kubernetes

Python

Java

Scala

Git

Job description

EY is seeking a Senior Manager in Data Architecture to lead end-to-end data capabilities for the automotive and aerospace sector. You will guide data architecture design, enable AI at scale, and manage complex multi-client programs across EY’s global teams.

Ideal candidates bring 12+ years in data consulting, cloud experience (Azure/GCP), and leadership in data engineering with a proven track record in delivering business use cases in finance or supply chain.