Solutions Architect

Overview

In this role you will design and deploy TransUnion Marketing Solutions, guiding clients through data integrations and model delivery. You will work within the MTA/MMM Data Science and Analytics team to enable fact-based decisions and adopt measurement technologies. You’ll manage multiple client engagements, tackle data challenges, and contribute to product-led initiatives that drive adoption and innovation. This hybrid role combines technical delivery with client-facing leadership in a global, collaborative environment.

Pay / Benefits

• 26 days annual leave and bank holidays
• Global paid wellness days off and birthday bonus day off
• Pension scheme and employee stock purchase plan
• Private health care and wellbeing programmes
• Mindfulness tools
• Diversity forums and communities

Responsibilities

• Understand customer business and technical requirements for data integrations and transformation rules
• Support end-to-end deployment from planning to model/UI delivery
• Set up, validate, and diagnose ETL integrations using cloud/data-transformation tools
• Configure and debug data pipelines connecting TransUnion, clients, and sources
• Represent TransUnion’s measurement product suite and guide clients during delivery
• Communicate with internal and external partners to troubleshoot data challenges
• Manage multiple client engagements with prioritization for high-quality delivery
• Contribute to large-scale projects and product-led initiatives to drive adoption and innovation

Key requirements

• Bachelor’s degree or higher in a related field
• 3-5 years of professional, customer-facing experience in quantitative analytics with marketing metrics
• Experience advising large accounts on technology solutions, including solution design and delivery leadership
• Ability to manage multiple client engagements and ensure high-quality delivery
• Ability to learn quickly and solve complex problems
• Advanced SQL skills to manipulate datasets
• Advanced Excel skills
• Advanced familiarity with Ad Server/Web Analytics data (Adobe/GA)
• Advanced understanding of ETL best practices and various ETL methodologies/technologies
• Advanced familiarity with database design
• Advanced familiarity with data visualization tools (PowerBI, Looker Studio, Tableau, Snowflake)
• Advanced familiarity with issue/task management platforms
• Novice familiarity with the AdTech/MarTech landscape

• Effective communication
• Client-facing collaboration
• Strong prioritization and multitasking
• SQL
• Excel
• ETL

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