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Senior Data Engineer
Massive Rocket | Data & CRM Consultancy. Design and maintain Snowflake data models supporting customer engagement, reporting, and audience activation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in designing and maintaining Snowflake data models for customer engagement and reporting, with a strong focus on data quality, governance, and compliance. Proficient in building customer-level data structures and optimizing performance across large datasets.
Highest-signal resume keywords
Snowflake Data ModelingCustomer Data Platform (CDP)Data Pipeline CreationData Quality AssuranceAudience Segmentation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData StructuresPerformance OptimizationData GovernanceEvent Tracking
Soft Skills
CollaborationCommunication
Tools & Technologies
BrazeHightouch
Industry Keywords
Customer EngagementLifecycle MarketingConsent FrameworksCustomer 360 Views
About the role
Key responsibilities & impact- Design and maintain Snowflake data models supporting 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 syncing 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 with CRM, CDP, analytics, and marketing teams to support business use cases
Requirements
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