Solutions Architect
- Compensation
- Not disclosed
- Location
- United Kingdom, United Kingdom
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Nice to have
- Experience with Snowplow or other behavioural data and event tracking tools.
- Hands-on experience with dbt.
- Experience with streaming platforms such as Kafka, Kinesis, or Pub/Sub.
- Exposure to ML or AI use cases, such as feature engineering or personalisation.
- Familiarity with data governance, privacy, and consent requirements such as GDPR.
Full description
About Snowplow
Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.
More than 250 companies, including Experian, AutoTrader, Strava, Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics.
This Opportunity
Our customers no longer use behavioural data only for dashboards. They now feed it into recommendation engines, in-session personalisation, and customer-facing AI agents. That means the data has to be governed, real-time, and trustworthy from the first event, and it raises the bar for how every Snowplow deployment is designed.
As a Solutions Architect in our Technical Services team, you'll lead the technical side of each customer's journey with Snowplow, from first implementation to their long-term roadmap. Implementation is the heart of the job: you'll design tracking, pipelines, and data models across our platform. But the work doesn't end at go-live. You'll stay with a portfolio of customers as their technical partner, helping them solve new problems, take on new use cases, and get more value from their data over time.
You'll work alongside Customer Success, Account Management, Support, Product, and Engineering, and what you learn and build in the field will help shape our product and strategy. You'll be hands-on with schemas, trackers, SQL, JavaScript, and more, and you'll be trusted to help customers make critical decisions and design choices.
What you will own
Implementation
- Customer implementations, end to end. Lead the technical side of new customer onboardings, from the Sales handover to a production pipeline the customer trusts.
- Tracking design that answers real questions. Help customers build tracking plans and schemas that reflect what the business needs to know.
- Data modelling. Guide customers from raw events to analytics-ready tables, using our packages alongside customers’ own models.
- Real-time and AI use cases. Help customers build real-time solutions driven by Snowplow Signals, from proof of concept to production.
Long-term technical partnership
- A portfolio of customers. Be the ongoing technical lead for a set of accounts, building relationships with their data teams that outlast any single project.
- Consultative advice. Help customers shape their data strategy and use-case roadmap through tailored workshops and advisory sessions.