Data Architect

Key Responsibilities / Essential Duties

• Develop enterprise data and analytics architecture, including best practices, guiding principles, and design patterns for new technology solutions aligned with the organizations strategic business objectives.
• Partner with business and solution architecture teams through implementation and operational support to ensure technology achieves desired business outcomes across initiatives of varying scope and complexity.
• Evaluate current architectures to identify weaknesses and formulate opportunities for improvement, defining interim and target-state strategies that advance overall architectural maturity.
• Integrate advanced analytics and artificial intelligence/machine learning (AI/ML) models into existing data workflows using frameworks such as TensorFlow, PyTorch, or Scikit-learn, ensuring seamless access and usability across the enterprise.
• Lead proof-of-concept initiatives to assess fit-for-purpose of potential solutions, leveraging data and analytics capability maturity assessments to build foundational future-state architecture and corresponding roadmaps.
• Contribute to the planning, design, and implementation of an enterprise data and analytics vision and strategy aligned with long-term strategic plans, enabling innovation while reducing solution complexity and time to market.
• Advise on complex projects and initiatives, taking full ownership of all necessary architectural artifacts, high-level designs, proof of concepts, and deployment support for data, analytics, and generative AI solutions.
• Guide the overall direction of architecture across the entire data and analytics ecosystem, focused on five foundational pillars: data platforms, analytics delivery, data security, artificial intelligence, and data management and governance.
• Define, document, and maintain standard architectural principles, patterns, and processes to ensure enterprise-wide consistency and enable reusable, scalable solutions.
• Validate architectural designs for accuracy, process review findings, propose solutions to remedy deficiencies, and confirm results in accordance with applicable data compliance requirements.
• Clarify technical inconsistencies and provide architectural expertise as necessary to cross-functional teams across multiple time zones.
• Communicate architectural requirements, design rationale, and technical recommendations to stakeholders and team members, adapting communication approaches for diverse audiences.
• Document processes, standard operating procedures, and knowledge artifacts to ensure operational continuity during transitions, enabling seamless integration of evolving team structures.