Massive Rocket
Senior Data Engineer CDP
Remote Data Engineering role with clear candidate location fit.
PostedJul 4, 2026
Eligible countries39 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Role overview
Senior Data Engineer CDP
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation
- Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing
- Translate customer engagement requirements into scalable Snowflake models and CDP-ready schemas
- Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools
- Work with identity resolution, consent frameworks, event tracking, and customer profile unification
- Support clients in building customer 360 views and improving audience readiness across channels
- Optimise Snowflake performance, cost efficiency, and scalability across large datasets
- Ensure data quality, governance, and compliance across customer-facing data models
- Collaborate closely with CRM, CDP, analytics, and marketing teams to ensure data supports business use cases
- Deep Snowflake expertise, including architecture, modelling, optimisation, and performance tuning
- Strong experience with customer data platforms, identity resolution, and customer profile design
- Experience supporting CRM and customer engagement platforms such as Braze, Salesforce Marketing Cloud, Bloomreach, or Adobe Campaign
- Strong understanding of customer events, user attributes, audience segmentation, and lifecycle marketing use cases
- Experience with reverse ETL tools such as Hightouch or Census
- Strong SQL and dbt skills, with the ability to design scalable customer-centric data models
- Familiarity with consent management, privacy frameworks, and customer data governance
- Experience working with multi-channel customer engagement data across email, push, SMS, web, and app
- Ability to communicate complex customer data concepts to both technical and non-technical stakeholders
Preferred
- Experience implementing or supporting CDPs such as Segment, mParticle, Tealium, or RudderStack
- Familiarity with predictive modelling, AI-driven segmentation, or propensity scoring
- Experience working with loyalty, retail, QSR, financial services, or subscription customer datasets
- Understanding of Braze data structures, Currents, custom events, and Connected Content
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Hiring flow
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