Senior Data Engineer- Customer Data Platform

About the Role

This role focuses on designing, building, and operating scalable customer data solutions using Oracle Unity CDP. You will work closely with engineering, data, and business stakeholders to enable high‑quality Customer 360 profiles, segmentation, and activation across the enterprise. The role emphasizes clear architecture, reliable data pipelines, and strong governance to support trusted decision‑making.

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.
• Lead and contribute to technical design, data modeling, and architecture workshops with engineering and business stakeholders.
• Integrate Oracle Unity CDP with the enterprise data lake and related platforms, ensuring consistency and governance.
• Monitor, optimize, and support ETL processes and CDP operations, resolving data quality, performance, and integration issues.
• Communicate technical concepts, trade‑offs, and recommendations clearly to non‑technical stakeholders and executive audiences.
• Establish and maintain documentation, data governance, security standards, and compliance with privacy and regulatory requirements.

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.
• Hands‑on experience designing and operating Customer Data Platforms, including Oracle Unity CDP.
• Strong expertise in: data modeling and Customer 360 architectures; data pipelines and ETL frameworks; SQL, Python, JSON.
• Experience integrating CDPs with enterprise ecosystems (data lakes, CRM, marketing automation, analytics platforms).
• Experience working with cloud platforms (AWS, Azure, Snowflake, Databricks) and REST APIs.
• Strong understanding of data governance, data quality frameworks, and data privacy regulations.
• Demonstrated ability to lead technical discussions and influence cross‑functional stakeholders.
• Excellent problem‑solving and communication skills.

Preferred Qualifications

• Experience with Oracle Marketing ecosystem (Eloqua, Responsys, Unity Behavioral Intelligence).
• Experience supporting segmentation, personalization, and campaign orchestration use cases.
• Experience with event‑driven or near real‑time data architectures.
• Experience working in Agile, product‑aligned delivery models.
• Exposure to AI/ML‑driven customer segmentation or personalization.

LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.