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

EY · Huntsville, AL · 1 wk ago

On-siteEngineering$144k–$329k/yrFull-time

About the role

EY is seeking a Senior Manager with 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. The role is dedicated to the mobility and manufacturing sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

Responsibilities

Manage and deliver complex technical initiatives, guiding more junior team members and working with a wide variety of clients to sell and lead delivery of technology consulting services.
Help clients enable better business outcomes by solving complex analytical problems to bring data to insights and enabling the use of ML and AI at scale for their clients.
Lead and develop your skill set to keep up with the ever-growing demands of the modern data platform.
Lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes.
Provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure.
Be face to face with external clients and build new and existing relationships in the sector.
Apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.

Requirements

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.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Profound 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.
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.

Qualifications

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.

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.

Benefits

The role offers a comprehensive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Pay

The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

Application Instructions

EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information.