Advanced Specialist, Data Engineering

Position Summary

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.

Key Responsibilities Data Architecture & Strategy

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.

Required Qualifications

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.

Preferred Qualifications

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.

What Success Looks Like

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

Who we are:

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.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].

Advanced Specialist, Data Engineering