Senior Data Architect - Mobility, Aerospace & AI Solutions

EY; Beryl (WV); Remote; USD 144,000 - 359,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY seeks a Senior Manager for Data Architecture to lead large-scale data platforms across automotive and aerospace sectors. You will design and deploy AI-ready data architectures, mentor teams, and collaborate with clients to translate business needs into scalable data solutions.

You will drive data strategy, governance, and modernization efforts, leveraging Azure or GCP to deliver end-to-end capabilities and enable ML/AI at scale for clients in a fast-paced consulting environment.

Qualifications

• Bachelor’s degree required in STEM.
• 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.
• 8+ years of experience mentoring and leading teams of data architects and data engineers.
• In-depth knowledge of data architecture principles including data modelling, warehousing, lakes, and integration.
• Hands-on coding skills in Python, Java, or Scala.
• Experience with Docker and Kubernetes for data workloads.

Responsibilities

• Lead data architecture and engineering projects for large-scale data platforms.
• Guide cross-functional teams and mentor junior staff.
• Design end-to-end data pipelines and architectures (Data Fabrics/ Data Mesh/ Lake Houses).
• Engage with C-level clients and shape data strategy and analytics initiatives.

Skills

Technical leadership

Data architecture

Cloud platforms (Azure, GCP)

Data engineering

AI/GenAI

Stakeholder management

Business development

Client advisory

Education

Bachelor’s degree in STEM

Tools

Docker

Kubernetes

Job description

EY seeks a Senior Manager for Data Architecture to lead large-scale data platforms across automotive and aerospace sectors. You will design and deploy AI-ready data architectures, mentor teams, and collaborate with clients to translate business needs into scalable data solutions.

You will drive data strategy, governance, and modernization efforts, leveraging Azure or GCP to deliver end-to-end capabilities and enable ML/AI at scale for clients in a fast-paced consulting environment.