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Enterprise Architect, Data and AI Job Opening In Memphis – Now Hiring FedEx


Job description

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

Essential Functions

About the Role - 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 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.
  • 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
  • Knowledge, Skills, and Abilities

  • 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., TensorFlow, 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.
  • DevOps for Data: Experience integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions.
  • Minimum Education

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

    Minimum Experience

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

    Domicile Information

    This position can be domiciled anywhere in the United States.

    The ability to work remotely within the United States may be available based on business need.

    Preferred Qualifications:

    Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations.

    If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level.

    Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law.

    An employee may be eligible for additional pay, premiums, or bonus potential.

    The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement

    Pay: U.S. Pay Range: $9,208.38/month - $16,575.08/month

    Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by July 11, 2025

    Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

    Applicants have rights under Federal Employment Laws:

    E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only).

    Please click below to learn more about the E-Verify program:

  • E-Verify Notice ()
  • Right to Work Notice () / ()
  • Pay Transparency:

    The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations.

    If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels in that job family.

    Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Enterprise Architect Potential: Insight & Career Growth Guide


    Real-time Enterprise Architect Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Enterprise Architect in Memphis, United States, highlighting market share and opportunities for professionals in Enterprise Architect roles.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at FedEx adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Enterprise Architect, Data and AI Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Memphis. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Enterprise Architect, Data and AI?

    Key qualifications for Enterprise Architect, Data and AI typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Enterprise Architect, Data and AI Job Success

    FedEx interview tips for Enterprise Architect, Data and AI

    Here are some tips to help you prepare for and ace your Enterprise Architect, Data and AI job interview:

    Before the Interview:

    Research: Learn about the FedEx's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Enterprise Architect, Data and AI interview at FedEx, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the FedEx's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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