Principal Data Architect - Data Engineering

Cencora is hiring a Principal Data Architect - Data Engineering to lead the development of architecture for technology, including best practices and guiding principles, and design of new data and analytics technology. The role involves collaborating with business and solution architectures, guiding cross-functional teams, and influencing senior stakeholders.

Requirements

• Develop architecture for technology including best practices and guiding principles
• Design of new data and analytics technology
• Collaborate with business and solution architectures
• Guide cross-functional teams and influence senior stakeholders
• Analyze current architectures to identify weaknesses and develop opportunities for improvements
• Ensure the completeness of technical requirements and functional architecture analysis for the design and implementation of data and analytics business solutions
• Define, document, and maintain architecture patterns
• Complete architecture solution blueprint for data and analytics initiatives
• Develop and present a variety of architectural artifacts and documentation
• Establishes standard architectural principles, patterns, and processes
• Participate in proof-of-concept initiatives to assess and analyze fit for purpose of potential solutions
• Participate in data and analytics capability maturity assessment leveraging insights to build foundational future state architecture and corresponding roadmaps
• Foster innovation by evaluating emerging technologies and recommending adoption where appropriate
• Strives to continuously increase the overall data and analytics architecture practice maturity
• Model development and deployment using frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Familiarity with cloud-based ML platforms, such as AWS SageMaker, Azure Foundry, or Google AI Platform, Mosaic AI
• Experience in utilizing tools like MLflow for managing the ML lifecycle, including experimentation, reproducibility, and deployment
• Knowledge of natural language processing (NLP) and/or reinforcement learning techniques as applicable to business use cases
• Ability to integrate advanced analytics and AI/ML models into existing data workflows, ensuring seamless access and usability

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Relocation Assistance