Senior Data Architect – Mobility & Aerospace AI

EY; Washington (District of Columbia); A distancia; USD 144.000 - 359.000; Jornada completa

Descripción de la vacante

EY is seeking a Senior Manager in Data Architecture to lead large-scale data platforms for automotive and aerospace clients. You will shape architectures, guide data engineering teams, and deliver end-to-end solutions that enable AI and ML at scale.

You will collaborate with EY leadership and client teams to define strategy, manage programs, and ensure timely delivery while upholding governance and security standards across modern data ecosystems.

Formación

• Bachelor’s degree in STEM.
• 12+ years of professional consulting experience.
• 12+ years hands-on data lake experience.
• 5+ years with Azure or GCP.
• 8+ years mentoring data architects and engineers.
• Deep knowledge of data modeling, warehousing, lakes, and integration.
• Hands-on coding in Python, Java, or Scala.
• Experience with Docker and Kubernetes.
• Knowledge of data security and governance.
• Leadership and client-facing communication skills.

Responsabilidades

• Lead delivery of data architecture projects for clients.
• Design and implement modern data architectures for transactional, analytical, and AI workloads.
• Mentor global data teams and foster innovation.
• Engage with senior leaders to define requirements and outcomes.
• Lead workshops to capture data needs and articulate solutions.

Conocimientos

Data architecture

Data modeling

Cloud computing

AI/Agentic AI

Leadership

Educación

Bachelor’s degree in STEM

Master’s degree (preferred)

Herramientas

Docker

Kubernetes

Git

Databricks

Descripción del empleo

EY is seeking a Senior Manager in Data Architecture to lead large-scale data platforms for automotive and aerospace clients. You will shape architectures, guide data engineering teams, and deliver end-to-end solutions that enable AI and ML at scale.

You will collaborate with EY leadership and client teams to define strategy, manage programs, and ensure timely delivery while upholding governance and security standards across modern data ecosystems.