Key responsibilities: + Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications + Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies + Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases + Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives + Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem + Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns + Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions + Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization + Mentor, motivate, and coach junior members on technical best practices and inspire professional development The Team Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. + Live within commuting distance to one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred: + Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field + AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect) + 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.