Enterprise Architect

OP RaaS; Memphis (TN); On-site; USD 140,000 - 180,000; Full time

Job summary

OP RaaS is seeking an Enterprise Architect for Data & AI to design scalable data architectures and AI solutions across Azure cloud and on‑prem environments. The role emphasizes governance, security, and cross‑functional collaboration to modernize data platforms and deliver measurable business outcomes.

You will lead integration across legacy systems and cloud-native platforms, champion a product engineering mindset, and guide junior architects while communicating strategies to senior leadership.

Qualifications

• 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.

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.
• 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

Skills

Azure services

Databricks

Relational databases

Document stores

Key value stores

Streaming and messaging systems

Lakehouse architecture

Data warehouses

ETL pipelines

AI/ML frameworks

TensorFlow

PyTorch

Data governance

Security practices

DevOps for Data

On-Prem Expertise

Education

Bachelor's degree in computer science, engineering, information systems

Tools

JMS

DB2

Oracle

TensorFlow

PyTorch

Job description

Enterprise Architect – Data and AI

Job Profile Summary:

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.

Job Description:

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.
• 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

Skills

• 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.

Additional Job Description

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.