Data Architect - Aerospace, Defense & Mobility - Senior Manager- Consulting - Location OPEN
Job
EY
Rogers, AR (In Person)
Full-Time
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Job Description
Data Architect
- Aerospace, Defense & Mobility
- Senior Manager
- Consulting
- Location OPEN at EY in Rogers, Arkansas, United States Job Description
Location:
Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data- Data Architecture
- Senior Manager
- Power & Utilities Sector EY is 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.
Your responsibilities will include:
As Data Architect- Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services.
Your skills will include:
+ Technical Skills Applications Integration + Cloud Computing and Cloud Computing Architecture + Data Architecture Design and Modelling with experience in Unified Namespace + Data Integration and Data Quality + AI/Agentic AI driven data operations with experience in MCP + Physical AI and robotics simulation and/or implementation + Experience delivering business use cases in Supply Chain / Manufacturing / Customer Growth. + Strong relationship management and business development skills. + Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. + Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. + Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. + Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. + Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. + Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. + Establish data governance policies and practices, including data security, quality, and lifecycle management. + Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have + A Bachelor's degree required 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 orch To view full details and how to apply, orSimilar remote jobs
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