Senior Data Engineer- Customer Data Platform

About the Business

LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.

You can learn more about LexisNexis Risk Solutions here:
LexisNexis Risk Solutions

About Our Team

The MarTech – Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.

About the Role

This role focuses on designing and delivering scalable customer data platform (CDP) solutions, enabling unified and high-quality customer insights across the organisation.

You will work closely with both technical and business stakeholders to shape architecture, lead design decisions, and ensure effective integration of customer data systems.

Responsibilities

• Design and architect scalable customer data solutions using Oracle Unity CDP, aligned with enterprise data architecture and business objectives
• Build and integrate data pipelines to ingest, transform, unify, and synchronize customer data from multiple internal and external sources
• Define, implement, and maintain data models supporting Customer 360 profiles, segmentation, and activation use cases, with strong data quality controls
• Integrate Oracle Unity CDP with the enterprise data lake and related platforms, ensuring consistency and governance
• Lead and contribute to technical design, data modelling, and architecture workshops with engineering and business stakeholders
• Identify technical design and data model risks, validate their impact, and develop mitigation strategies
• Monitor, optimise, and support ETL processes and CDP operations, resolving data quality, performance, and integration issues
• Establish and maintain documentation, data governance, and security standards, ensuring compliance with privacy and regulatory requirements
• Communicate technical concepts, trade-offs, and recommendations clearly to non-technical stakeholders and executive audiences
• Partner with the Oracle vendor implementation team throughout discovery, build, and go-live phases

Requirements

• Experience in software engineering, data engineering, or data architecture
• Proven experience as a Lead Engineer or Senior Individual Contributor owning critical platforms or capabilities
• Experience designing and operating Customer Data Platforms (e.g., Oracle Unity, Salesforce Data Cloud, Adobe Experience Platform, Tealium)
• Strong expertise in data modelling, Customer 360 architectures, data pipelines, and ETL frameworks
• Strong working knowledge of SQL, Python, and JSON
• Experience integrating CDPs with enterprise ecosystems such as data lakes, CRM, marketing automation, and analytics platforms
• Experience working with cloud platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and REST APIs
• Understanding of data governance, data quality frameworks, and data privacy regulations, with the ability to lead technical discussions and influence stakeholders

What We Offer

• Collaboration with Oracle’s implementation team during the build phase, providing direct access to product experts and best-practice guidance
• Dedicated Oracle University training and certification