Senior Solutions Architect, EMEA

Senior Solutions Architect, EMEA
Location: Remote. Continental Europe or compatible time zone preferred. (roughly UTC-1 to UTC+3)
Clients: Global. Primarily EMEA and North American.
Reports to: VP of Solutions
Salary Range: $70,000 - $150,000 USD annually. Compensation dependent on candidate experience and location.
About McGaw
Our Mission at McGaw.io is to help companies of all sizes realize their customer data is their most valuable business asset, and we help them realize that through customer data infrastructure, high power analytics, marketing automation, personalization, and funnel optimization.
McGaw.io supports businesses with analytics, marketing automation, customer data platforms, data piping, websites, AB testing, and all sorts of marketing operations. As we derive insights from these technical efforts, we also inform & execute growth strategies that routinely move the needle for our clients.
Our track record is impeccable, and our leadership has supported some of the fastest-growing companies in the world. McGaw.io’s core client base sells online and has complex data and marketing practices that drive our team to dig deeper every day.
Mission
Own technical delivery across your accounts. Design the stack, build the hard parts, direct the technical team, and keep projects on schedule and profitable.
Why this role exists
Our clients are spread across North America and Europe, but our technical bench is not. European accounts wait a day for answers and North American accounts compete for the same people. This role adds senior technical capacity in a time zone that covers both.
Responsibilities
Architecture and design
Design end-to-end customer data stacks: CDP, analytics, marketing automation, CRM, warehouse, pipelines, tag management, testing
Lead taxonomy design. Define events, properties, and naming before implementation, not after
Solve identity resolution across web, app, offline, and CRM
Write ecosystem docs that show where data moves and what breaks if it stops
Hands-on build
Build. This is not an advisory seat: you will be in the CDP, the warehouse, GTM, and the code
Write and review tracking, server-side integrations, and reverse ETL pipelines
Run QA to our two-person standard. Check every property in both the CDP and the destination, with a recorded walkthrough
Directing the team
Turn client requirements into scoped, sequenced tasks for engineers and contract developers
Review their work before it reaches a client. You are the quality gate
Unblock people. When a build stalls, you get it moving
Keeping delivery on track
Run the cadence: two-week sprints, a groomed backlog, and a roadmap with three or more months of planned work
Flag budget pacing early. Never surprise a client on budget
There are no free scope changes. Every change gets estimated, documented, and confirmed in writing before work starts
New business
Write technical specs for new opportunities. What gets built, in what order, and what it depends on
Produce level of effort estimates accurate enough that Sales can price without a rebuild
Join pre-sales calls when a prospect needs a technical answer in the room
Say when a prospect is not ready, and what would make them ready
Required
Skills and experience
Fully fluent in English. That is the company's working language
6+ years designing and integrating marketing and customer data technology. At least 3 in an agency, consultancy, or professional services with multiple clients
Understand how CDPs drive marketing, with working knowledge of Segment, Hightouch, or RudderStack. No preference among them. Know one and you can learn the others
Proficient in JavaScript and SQL. Comfortable in a shared repo
Designed at least three full stacks, not just operated tools someone else picked
GDPR and consent handled as part of the build
Systems
Depth in at least three groups, working familiarity with the rest:
Customer data platforms: Segment, Hightouch, RudderStack
Analytics: Amplitude, Mixpanel, GA4
Lifecycle and marketing automation: Braze, Customer.io, HubSpot, Marketo, Iterable
Warehouse and transformation: Snowflake, BigQuery, dbt
Tag management: Google Tag Manager, server-side GTM
CRM: Salesforce, HubSpot
Consent management: OneTrust, Cookiebot, Didomi
Preferred
Multilingual with professional working proficiency in English as well as German, French, Spanish, or Italian
Server-side tracking under EU consent rules
Work across both European and North American clients
What you get out of this
Many stacks in a year instead of one stack in five. Different industries, scale, and failure modes
The customer data layer is changing right now. Warehouse-native patterns, composable CDPs, and reverse ETL are replacing a decade of assumptions. You build on the new pattern
We work across the full client stack, not just indivi