Data Architect

Join to apply for the Data Architect role at LexisNexis.

Would you like to shape the future of data platforms and drive impactful software innovations? Do you thrive in collaborative, customer-focused environments where your ideas help guide strategic decisions?

LexisNexis Intellectual Property (LNIP) serves customers in more than 150 countries with 11,300 employees worldwide. It is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

At LexisNexis Intellectual Property (LNIP), our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make more informed decisions, be more productive, and achieve superior results. By helping our customers achieve their goals, we support the development of new technologies and processes that advance humanity.

We are looking for a Data Architect with proven experience designing and implementing data platforms using Databricks. In this mid-level role, you will architect scalable data solutions that drive analytics, data science, and business intelligence efforts. You will work cross-functionally with engineering, analytics, and infrastructure teams to transform raw data into valuable enterprise assets.

• Designing and implementing cloud-native data architectures using Databricks and technologies such as Delta Lake, Spark, and MLflow.
• Developing and maintaining robust data pipelines, including batch and streaming workloads, to support data ingestion, processing, and consumption.
• Collaborating with business stakeholders and analytics teams to define data requirements, data models, and data integration strategies.
• Ensuring data architecture solutions are secure, scalable, and high performing, adhering to enterprise standards and best practices.
• Leading technical efforts in data quality, metadata management, data cataloguing, and governance (including Unity Catalogue if applicable).
• Providing technical guidance to junior engineers and analysts in the adoption of modern data architecture patterns.
• Evaluating and recommending emerging tools and frameworks within the Databricks ecosystem and broader data engineering space.
• Having a solid understanding of analytics engines and columnar databases to support performance-optimised data solutions.
• Experience with full-text search platforms is highly desirable; familiarity with technologies like Elasticsearch or Solr is a strong advantage.

• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.
• Hands-on experience in data architecture, data engineering, or a similar role.
• Deep expertise in Databricks, including Spark (PySpark/Scala), Delta Lake, and orchestration within Databricks workflows.
• Strong understanding of cloud infrastructure and data services on at least one major cloud platform (Azure preferred, but AWS or GCP also accepted).
• Proficiency in data modelling, SQL, data warehousing, and ETL frameworks.
• Hands-on experience with CI/CD pipelines, version control (Git), and DevOps practices.
• Solid understanding of data governance, privacy, and security best practices.

• Databricks certifications (e.g., Data Engineer Associate/Professional).
• Familiarity with Unity Catalogue, MLflow, and Lakehouse architecture principles.
• Experience working in regulated industries (e.g., financial services, healthcare).
• Exposure to BI tools (e.g., Power BI, Tableau) and data virtualisation platforms.

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers and private medical benefits.
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity, and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to the employee discounts scheme via Perks at Work

LexisNexis Intellectual Property (LNIP) enables innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and achieve superior results. By harnessing machine learning and expert analysis, LNIP disrupts how actionable insight is extracted from patent data.