Enterprise Architect - Integration & Automation

About the Team:

Lexis Nexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ().

Do you enjoy building relationships with key stakeholders

Do you enjoy solving problems?

We are seeking a highly specialized Integration and Automation Architect to join our Enterprise Technology team. This pivotal role is responsible for designing the future state of our core business platforms and ensuring seamless data flow across our Lead-to-Cash value chain. You will architect robust, scalable, and automated integration solutions connecting our CRM, ERP, and eCommerce systems.
This position requires deep expertise in cloud-native architectures, advanced API management, RPA, and end-to-end Dev Ops practices.

• Design Future State:
  Lead the definition and design of the future-state integration architecture, focusing on the convergence and automation of the Lead-to-Cash value chain (CRM, ERP, eCommerce).

• Cross-Functional Collaboration:
  
  Partner directly with Product Managers and Engineering teams to translate business capabilities into technical requirements and long-term architectural roadmaps.

• Advisory Role:
  Act as a key advisor to technology leadership on strategic direction, investment prioritization, and technology roadmaps.

• Integration Governance:
  Set standard design patterns and enforce best practices, standards, and governance models for API design, development, deployment, and monitoring across all integration platforms.

• Security Resolution:
  Provide expert knowledge for resolving security vulnerabilities on Open-source Java technologies.

• Advanced Integration:
  Design and implement complex routing and mediation patterns using frameworks like Apache Camel.

• Core Systems Integration:
  Architect and oversee critical integrations between core business platforms (e.g.,
  Salesforce, Oracle
  ) and Customer Contact Center technology.

• Automation:
  Drive extensive automation initiatives utilizing RPA platforms such as UI Path and low-code platforms like Appian and the MS Power Platform to streamline processes and improve data accuracy.

• Cloud Engineering:
  Design highly available, resilient, and secure integration solutions using advanced AWS Cloud Technologies, Mule Soft, etc.

• AWS Operations:
  Lead AWS Dev Ops activities, utilizing AWS Cloud Formation Templates for infrastructure as code, and managing the Creation & Upgrade of AWS Databases.

• Integration Platforms:
  Expert-level proficiency in API-led connectivity using Mule Soft and routing/mediation using Apache Camel.

• Automation (RPA/Low-Code):
  Deep experience with RPA (Robotic Process Automation) tools like UI Path, and low-code platforms such as Appian and the MS Power Platform.

• Programming & Security:
  Strong background in enterprise development (Java) with expert knowledge of resolving security vulnerabilities in open-source components.

• AWS Cloud Expertise:
  Proven expertise in AWS Cloud Technologies, including serverless (Lambda, Step Functions), storage (S3, ECS), messaging (SQS), and infrastructure management.

• Dev Ops & Databases:
  Expertise in AWS Dev Ops activities, utilizing AWS Cloud Formation Templates, and managing AWS Databases (Create & Upgrade).

• Core Business Systems:
  Architectural knowledge of major CRM, ERP, and eCommerce platforms.

• Education:
  
  B.S. or M.S. in Computer Science or a related technical field.

• Experience:
  
  8–10 years of total experience in technology, with 5+…