Enterprise Architect

4 weeks ago

Memphis, Tennessee, United States Federal Express Corporation Full time
Job Description:

As a Senior Enterprise Architect for Data and AI Strategy at Federal Express Corporation, you will be 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.

Key Responsibilities:
  • 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 DevOps 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.
Requirements:
  • 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., TensorFlow, PyTorch, etc.).
  • Strong experience with Azure cloud-based data architectures, including data storage, processing, and AI integration.
  • Proven experience modernizing legacy data systems such as JMS, DB2 and Oracle, with a focus on transitioning to cloud-native data platforms.
  • Deep knowledge of integrating AI models into existing data infrastructures and deploying them across hybrid environments.
  • Expertise in data governance, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and on-prem environments.
  • Experience integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions.
Education and Experience:
  • 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.

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