Remote Senior Solutions Architect - Data & CDP Stack

McGaw; Looe; Remote; GBP 53,000 - 113,000; Full time

Benefits offered by this job

Flexible PTO

Flexible hours

Work remotely

Company laptop

Job summary

McGaw is seeking a senior technical delivery lead to own architecture and implementation of customer data stacks across global accounts. You will direct technical teams, translate client requirements into executable tasks, and ensure on-time, profitable delivery in a time-zoned setup spanning Europe and North America.

You will design end-to-end CDPs, analytics, marketing automation, and data pipelines, while maintaining quality gates and documenting data flows.

Qualifications

• Fully fluent in English, the company working language.
• 6+ years designing and integrating marketing and customer data tech, with multiple clients.
• Experience with CDPs and data tech, working knowledge of Segment, Hightouch or RudderStack.
• Proficient in JavaScript and SQL; comfortable in a shared repository.
• Designed at least three full stacks, not just operating tools.
• GDPR and consent handling as part of builds.

Responsibilities

• Architecture and design of end-to-end customer data stacks (CDP, analytics, marketing automation, CRM, warehouse, pipelines, tagging).
• Lead taxonomy design: define events, properties, naming before implementation.
• Solve identity resolution across web, app, offline, and CRM.
• Write ecosystem docs showing data flows and failure points.

Skills

English fluency

Marketing data tech

CDP knowledge

JavaScript

SQL

Full-stack design

GDPR compliance

Tools

Segment

Hightouch

RudderStack

Job description

McGaw is seeking a senior technical delivery lead to own architecture and implementation of customer data stacks across global accounts. You will direct technical teams, translate client requirements into executable tasks, and ensure on-time, profitable delivery in a time-zoned setup spanning Europe and North America.

You will design end-to-end CDPs, analytics, marketing automation, and data pipelines, while maintaining quality gates and documenting data flows.