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Massive Rocket

Automated CRM program execution platform

Senior Data Engineer - Snowflake

Data EngineeringConfirmed live in the last 24 hours
Full-timeLa Ronge, SK, CanadaNo salary listed

About the Job

Requirements

  • 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

Responsibilities

  • 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

Desired Qualifications

  • 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

About the Company

Massive Rocket

Automated CRM program execution platform

Massive Rocket provides a standardized, automated approach to running CRM programs for Braze customers. It offers tools and processes designed to help Braze users achieve value quickly, consistently, and predictably by guiding the execution of CRM campaigns and workflows. How it works: The platform pairs ready-to-use tools and established processes with Braze-based CRM programs, offering repeatable workflows and automation to manage campaigns, communications, and measurement from start to finish. How it differs: It focuses on standardization and automation tailored to Braze customers, delivering consistent outcomes and faster time-to-value compared to ad hoc CRM efforts. Goal: Help Braze customers realize faster and more predictable improvements from their CRM programs by providing a clear, repeatable path from setup to measurable results.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2016

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