Senior Data Architect – Automotive, Aerospace & Mobility

EY; Hoboken (NJ); Remote; USD 144,000 - 374,000; 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 enterprise data solutions for the mobility and manufacturing sector. You will design and deploy large-scale AI-ready data architectures, guide data engineers, and work directly with clients to deliver transformative data strategies.

The role emphasizes solving complex analytics problems, enabling ML/AI at scale, and coaching teams across continents in a dynamic consulting environment.

Qualifications

• Bachelor’s degree in STEM.
• 12+ years of professional consulting experience.
• 12+ years architecting data lake solutions.
• 5+ years with Azure or GCP.
• 8+ years mentoring data teams.
• In-depth data architecture, modelling, warehousing and integration knowledge.
• Hands-on coding in Python/Java/Scala.
• Experience with containers (Docker) and Kubernetes.
• DevOps familiarity for DataOps.
• Security, governance and data lifecycle practices.

Responsibilities

• Lead end-to-end data architecture programs for clients in mobility, manufacturing, and AI-enabled data platforms.
• Mentor and manage global data engineering teams and guide solution delivery.
• Advise C-level stakeholders with data-driven strategies and architectures.
• Lead workshops to capture requirements, design data solutions, and align on data architecture strategy.

Skills

Data Architecture

Data Modeling

Cloud Computing

Python/Java/Scala

Docker

Kubernetes

Data Governance

AI/Agentic AI

Data Security

Stakeholder Management

Education

Bachelor’s degree in STEM

Tools

Docker

Kubernetes

Git

Databricks

Job description

EY is seeking a Senior Manager in Data Architecture to lead enterprise data solutions for the mobility and manufacturing sector. You will design and deploy large-scale AI-ready data architectures, guide data engineers, and work directly with clients to deliver transformative data strategies.

The role emphasizes solving complex analytics problems, enabling ML/AI at scale, and coaching teams across continents in a dynamic consulting environment.