Senior Data Architecture Manager — Aerospace & Mobility

EY; Palo Alto (CA); Sur place; USD 180 000 - 374 000; Plein temps

Résumé du poste

EY is seeking a Senior Manager in Data Architecture to lead transformative data architecture projects for the mobility, automotive, and aerospace sectors. You will guide data engineering teams, design end-to-end data platforms, and drive AI-enabled data solutions for large clients.

You will mentor teams, collaborate with cross-functional partners, and partner with clients to deliver scalable data and analytics capabilities while advancing EY’s strategic technology vision.

Qualifications

• Bachelor’s degree in STEM required.
• 12+ years professional consulting experience in industry or technology consulting.
• 12+ years hands-on data lake solution experience.
• 5+ years’ experience with native cloud products (Azure/GCP).
• 8+ years leading data architecture/engineer teams.
• Experience with data modeling, warehousing, lakes, integration.
• Hands-on coding in Python/Java/Scala.
• Containerization with Docker; orchestration with Kubernetes.
• DevOps practices for automating data workflows (DataOps).
• Data encryption, access controls, and security best practices.

Responsabilités

• Lead delivery of data architecture projects for automotive and aerospace clients.
• Design modern data architectures for transactional, analytical, and AI use cases.
• Mentor global data teams and ensure delivery quality and timelines.
• Engage with senior client stakeholders and drive data strategy.
• Help win new business with solutions anchored in data engineering.

Connaissances

Data Architecture

Cloud Platforms

Leadership

Data Modeling

Data Warehousing

Python/Java/Scala

Docker/Kubernetes

DevOps / DataOps

Security Best Practices

Client Engagement

Formation

Bachelor’s degree in STEM

Outils

Databricks

Git

Docker

Kubernetes

Description du poste

EY is seeking a Senior Manager in Data Architecture to lead transformative data architecture projects for the mobility, automotive, and aerospace sectors. You will guide data engineering teams, design end-to-end data platforms, and drive AI-enabled data solutions for large clients.

You will mentor teams, collaborate with cross-functional partners, and partner with clients to deliver scalable data and analytics capabilities while advancing EY’s strategic technology vision.