Resumo da vaga

Senior Data Engineer CDP

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

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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FocoData EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackSalesforce, Snowflake, SQLSkills principais
Localização39 países aceitosElegibilidade

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