Enterprise Architect

The Enterprise Architect - Data & AI is responsible for designing and implementing scalable data architectures and AI solutions across Azure cloud and on-prem environments. This role focuses on ensuring that data platforms and AI models are integrated seamlessly into the organization’s technology stack, while fostering a culture of reusability, scalability, and innovation. The ideal candidate will have deep technical expertise in both cloud-native and legacy data systems, with a proven ability to collaborate with cross-functional teams and deliver data-driven solutions that meet business needs.

• Design and implement data architectures that support the deployment of AI models, ensuring scalability, security, and performance across both Azure cloud and on-prem environments.
• Drive the integration of AI solutions with existing data infrastructures, ensuring seamless compatibility between legacy systems and modern cloud-native platforms.
• Lead efforts to modernize data systems, transitioning from on-prem legacy architectures to cloud-native data lakes, warehouses, and advanced analytics platforms.
• Collaborate with data scientists, engineers, and business stakeholders to ensure that AI models and data platforms are aligned with business goals and deliver measurable outcomes.
• Foster a product engineering mindset within the data architecture teams, ensuring that data solutions are built with reusability, flexibility, and scalability in mind.
• Implement best practices for data governance, security, and compliance, ensuring that all data architectures meet regulatory requirements and protect sensitive information.
• Oversee the integration of Dev Ops practices into data pipelines and AI solution deployment, ensuring automation, efficiency, and continuous improvement across the organization’s data ecosystem.
• Communicate complex technical architectures and AI strategies to senior leadership, ensuring alignment with the broader enterprise architecture and business objectives.
• Responsible for decisions/priorities regarding the overall enterprise's architecture.
• Translate business needs into architectural solutions (current and target state) and defining solutions to problems through application of information technology.
• Facilitate the establishment and implementation of standards/guidelines that direct integration of multiple platforms.
• Develop/document the framework for integration/implementation for changes to architectural standards.
• Determine architecture solutions that meet performance, scalability, reliability and security needs.
• Provide technical guidance to project team.
• Coach the development of Jr. IT architects
• Perform other duties as assigned

• Technologies:
  Expertise in Azure services, Databricks, relational databases, document stores, key value stores, streaming and messaging systems, Lakehouse architecture, data warehouses, ETL pipelines, and AI/ML frameworks (e.g., Tensor Flow, PyTorch, etc.).
• Cloud Expertise:
  Strong experience with Azure cloud-based data architectures, including data storage, processing, and AI integration.
• On-Prem Expertise:
  Proven experience modernizing legacy data systems such as JMS, DB2 and Oracle, with a focus on transitioning to cloud-native data platforms.
• AI/ML Integration:
  Deep knowledge of integrating AI models into existing data infrastructures and deploying them across hybrid environments.
• Data Governance and Security:
  Expertise in data governance, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and on-prem environments.
• Dev Ops for Data:
  Experience integrating Dev Ops practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions.

Bachelor's degree in computer science, engineering, information systems and/or equivalent formal training.

Five (5) years equivalent work experience in information technology or engineering environment.