Data Architect - Aerospace, Defense & Mobility - Senior Manager- Consulting - Location OPEN

We are seeking a motivated professional with solid experience in the automotive and aerospace sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a controls systems / electrical engineering background and having delivered business use cases in Supply Chain / Manufacturing / Customer Growth.

Requirements

• Bachelor's degree in STEM
• 12+ years professional consulting experience in industry or in 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, fostering a culture of innovation and professional development
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration
• Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations
• Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps)
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data
• Experience leading Infrastructure and Security engineers and architects in overall platform build
• Excellent leadership, communication, and project management skills
• Data Security and Database Management
• Enterprise Data Management and Metadata Management
• Ontology Design and Systems Design
• Master's degree in Electrical / Mechanical Systems Engineering, Computer science, Robotics, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience
• Experience working at big 4 or a major manufacturer
• Experience with cloud data platforms like Databricks
• Experience in leading and influencing teams, with a focus on mentorship and professional development
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members
• Building and Managing Relationships
• Client Trust and Value and Commercial Astuteness
• Communicating With Impact and Digital Fluency

Benefits

• Comprehensive compensation and benefits package
• Medical and dental coverage
• Pension and 401(k) plans
• Paid time off options
• Flexible vacation policy
• Designated EY Paid Holidays
• Winter/Summer breaks
• Personal/Family Care
• Other leaves of absence when needed