Enterprise Architect

Federal Express Corporation; United States; Remote; USD 125,000 - 150,000; Full time

Job summary

A leading company is seeking an Enterprise Architect to lead the design and implementation of data architectures that support AI models. This role involves modernizing data systems, ensuring security, and integrating AI solutions with existing infrastructures. The ideal candidate will have extensive experience with Azure services and a strong background in data governance. The position can be remote within the U.S. based on business needs.

Qualifications

• 5 years of relevant IT or engineering experience.
• Experience modernizing legacy systems and integrating AI solutions.

Responsibilities

• Design and implement data architectures supporting AI models.
• Collaborate with data scientists to align AI models with business goals.
• Implement data governance and compliance best practices.

Skills

Azure services

AI/ML frameworks

Data Governance

DevOps for Data

Education

Bachelor's degree in computer science

Tools

Databricks

TensorFlow

PyTorch

Job description

Join to apply for the Enterprise Architect role at Federal Express Corporation

Lead the long-range planning for the structure and interaction of the enterprise's major data types, information needs, and business processes/strategy.

Essential Functions

1. Design and implement data architectures supporting AI models, ensuring scalability, security, and performance across Azure cloud and on-prem environments.
2. Integrate AI solutions with existing data infrastructures, ensuring compatibility between legacy systems and modern cloud platforms.
3. Modernize data systems by transitioning from on-prem legacy architectures to cloud-native data lakes, warehouses, and analytics platforms.
4. Collaborate with data scientists, engineers, and stakeholders to align AI models and data platforms with business goals and outcomes.
5. Foster a product engineering mindset within data architecture teams, emphasizing reusability, flexibility, and scalability.
6. Implement data governance, security, and compliance best practices to meet regulatory requirements and protect sensitive data.
7. Oversee DevOps integration into data pipelines and AI deployment for automation, efficiency, and continuous improvement.
8. Communicate complex architectures and AI strategies to senior leadership, aligning with enterprise architecture and business objectives.
9. Make decisions on enterprise architecture priorities and translate business needs into architectural solutions.
10. Establish and implement standards and guidelines for platform integration and architectural changes.
11. Develop documentation and frameworks for architecture solutions addressing performance, scalability, reliability, and security.
12. Provide technical guidance and coach junior IT architects.
13. Perform additional duties as assigned.

Knowledge, Skills, and Abilities

• Technologies: Azure services, Databricks, relational and document databases, streaming systems, Lakehouse architecture, data warehouses, ETL, AI/ML frameworks (TensorFlow, PyTorch, etc.).
• Cloud Expertise: Experience with Azure data architectures, storage, processing, and AI integration.
• On-Prem Expertise: Experience modernizing legacy systems like JMS, DB2, Oracle, transitioning to cloud-native platforms.
• AI/ML Integration: Deep knowledge of deploying AI models in hybrid environments.
• Data Governance and Security: Expertise in compliance and security practices across cloud and on-prem systems.
• DevOps for Data: Experience in automating and delivering data solutions via DevOps practices.

Minimum Education

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

Minimum Experience

Five (5) years of relevant IT or engineering experience.

Domicile Information

Position can be remote within the U.S., depending on business needs.

Additional Details

Salary range: $9,208.38 - $16,575.08/month. Submit application by May 9, 2025, including a resume and screening questionnaire.

All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Reasonable accommodations are available.