Enterprise Architect

Thecentermemphis; Memphis (TN); Remote; USD 125,000 - 150,000; Full time

Job summary

An established industry player is seeking a talented Enterprise Architect specializing in Data and AI to lead the design and implementation of scalable data architectures across cloud and on-prem environments. This role is pivotal in integrating AI solutions with existing data infrastructures, ensuring seamless compatibility and fostering innovation. The ideal candidate will have extensive experience in both cloud-native and legacy systems, with a strong focus on collaboration and delivering data-driven solutions. Join a forward-thinking organization where your expertise will shape the future of data architecture and AI integration.

Benefits

Health insurance

Vision insurance

Dental insurance

Retirement plans

Tuition reimbursement

Qualifications

• 5+ years of experience in IT or engineering environments.
• Bachelor's degree in relevant fields is required.

Responsibilities

• Design and implement scalable data architectures and AI solutions.
• Collaborate with teams to ensure AI models meet business goals.

Skills

Azure services

Databricks

relational databases

document stores

key-value stores

streaming and messaging systems

Lakehouse architecture

data warehouses

ETL pipelines

AI/ML frameworks (e.g., TensorFlow, PyTorch)

Education

Bachelor's degree in computer science

Bachelor's degree in engineering

Bachelor's degree in information systems

Job description

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 define solutions to problems through application of information technology.
• Facilitate the establishment and implementation of standards/guidelines that direct the 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 teams.
• 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.
• Ability to apply basic computer concepts, theories, principles, and methods to projects, business problems, issues, and questions.
• Strong communication skills.

Minimum Education

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

Minimum Experience

Five (5) years of equivalent work experience in an 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

Not specified.

Pay Transparency

This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. The actual starting pay will be determined by experience, market factors, location, and other relevant considerations. The company offers health, vision, dental insurance, retirement plans, and tuition reimbursement.

Pay

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

Additional Details

Application deadline: May 9, 2025. Upload your current Resume (Word or PDF) and answer the screening questionnaire.

All qualified applicants will receive consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Reasonable accommodations are available upon request. Contact: [e-mail].

Applicants' rights under federal employment laws are available via links provided.

Participation in E-Verify: Federal Express participates in the E-Verify program. More info: E-Verify Notice and Right to Work.