Advanced Specialist, Data Engineering

Pearson Professional Assessments is seeking a Data Architect to lead the design and evolution of the data ecosystem supporting advanced data forensics, fraud detection, investigative analytics, and threat intelligence.

This role will establish the architecture, governance, and technical foundations necessary to deliver scalable analytics, machine learning, and investigative intelligence capabilities across a global assessment environment.

The successful candidate will combine strategic architectural vision with hands-on expertise in cloud data platforms, data engineering, and analytics enablement., * Design and maintain enterprise-scale data architectures supporting forensic analytics and security operations.

• Define standards for data modeling, integration, quality, lineage, and governance.
• Develop target-state architectures that support both operational reporting and advanced analytical workloads.
• Create architectural roadmaps that align with business and security objectives.

Data Platform Design

• Architect and optimize cloud-based analytics platforms utilizing Azure and Databricks technologies.
• Design scalable solutions supporting data lakes, warehouses, and analytical processing environments.
• Ensure performance, reliability, scalability, and resiliency across the data ecosystem.

Data Integration & Engineering

• Design frameworks for integrating data from:
• Test delivery systems
• Remote proctoring platforms
• Identity verification systems
• Security technologies
• Investigation and case management platforms
• Internal and external intelligence sources
• Establish standards for batch, real-time, and streaming data pipelines.

Governance, Quality & Security

• Implement enterprise data governance standards and controls.
• Ensure appropriate data security, privacy, retention, and compliance requirements are met.
• Establish data quality monitoring and remediation processes.
• Support audit, regulatory, and compliance initiatives as required.

Analytics & AI Enablement

• Build and maintain architectures that support machine learning, artificial intelligence, and advanced analytics workloads.
• Partner with Data Scientists to optimize data access and analytical workflows.
• Develop reusable data products and services that accelerate analytical development.

Technical Leadership

• Serve as a trusted advisor on data architecture decisions.
• Evaluate emerging technologies and architectural patterns.
• Mentor technical teams on data management best practices.
• Partner with stakeholders across security, technology, and business organizations., * Deliver scalable, secure, and governed data architecture supporting advanced forensic analytics.
• Improve accessibility and quality of data across analytical and investigative teams.
• Reduce time-to-insight for fraud detection and security investigations.
• Enable machine learning and AI capabilities through modern data platform design.
• Establish a sustainable foundation for future analytics, intelligence, and security initiatives.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The minimum full-time salary range is between $135,000 - $165,000.

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Applications will be accepted through 24th July. This window may be extended depending on business needs

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related discipline.
• 5+ years of experience in Data Architecture, Data Engineering, Analytics Architecture, or related fields.
• Strong experience with:
• Azure Data Platform technologies
• Databricks
• SQL
• Enterprise Data Modeling
• Data Lake and Data Warehouse architectures
• ETL/ELT design patterns
• Experience designing and implementing enterprise-scale data solutions.
• Strong understanding of governance, data quality, and information management principles., * Experience supporting cybersecurity, fraud prevention, investigation, risk, or intelligence functions.
• Experience with:
• Azure Synapse
• Azure Data Factory
• Microsoft Fabric
• Spark
• Delta Lake
• Power BI
• Familiarity with machine learning infrastructure and deployment architectures.
• Experience in highly regulated or security-sensitive environments.
• Knowledge of privacy, compliance, and information security frameworks.

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world’s lifelong learning company. For us, learning isn’t just what we do. It’s who we are. To learn more: We are Pearson.