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Massive Rocket

Automated CRM program execution platform

Principal Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 8 years of experience in Data Architecture or Solution Architecture, including at least 5 years in technical leadership.
  • Deep hands-on expertise in Snowflake, Databricks, and customer data platforms; Hightouch experience is a plus.
  • Experience integrating cloud data warehouses with MarTech, CRM, customer engagement, and analytics platforms.
  • Strong understanding of identity resolution, customer profiles, and linking anonymous and known customer activity across multiple data sources.
  • Extensive experience in data modelling, reverse ETL, pipeline architecture, data integration, and performance optimisation.
  • Strong SQL and Python skills, with familiarity with version control, CI/CD, and modern engineering practices.
  • Experience leading discovery workshops and translating business requirements into robust technical architectures.
  • Ability to scope and estimate delivery phases, document technical designs, and secure formal client approval.
  • Experience mentoring engineers or consultants and providing technical direction across multiple projects.
  • Experience in an agency or consulting environment, managing multiple client engagements.
  • Willingness to travel to client locations when required.

Responsibilities

  • Lead client discovery workshops to assess existing data platforms, identity frameworks, integrations, and business requirements.
  • Align marketing, data, engineering, and product stakeholders on scope, priorities, and success measures.
  • Design end-to-end data architectures integrating Snowflake, Databricks, mParticle, Hightouch, Braze, and wider MarTech platforms.
  • Define data models, identity resolution, consent, and data quality frameworks across multiple brands and markets.
  • Plan migrations from marketing, loyalty, and messaging platforms into modern data architectures.
  • Develop technical roadmaps, estimate delivery effort, define project phases, and secure client sign-off before implementation.
  • Evaluate data technologies and tools based on business requirements, scalability, performance, and cost.
  • Guide Data Engineering teams in designing and optimising batch, event-driven, and low-latency data pipelines.
  • Establish best practices for data validation, monitoring, performance optimisation, and governance.
  • Translate complex technical concepts into clear recommendations that demonstrate business value.
  • Mentor engineers and consultants, lead technical reviews, and drive continuous improvement.
  • Support client pitches, technical presentations, workshops, and opportunities to expand existing engagements.

Desired Qualifications

  • Certifications in Snowflake, data architecture, customer data platforms, or relevant MarTech platforms.
  • Familiarity with Braze, Amplitude, GA4, and marketing automation within composable customer data platform or warehouse-native architectures.
  • Understanding of data privacy, security, consent, and regulatory requirements for customer data.
  • Experience developing technical proposals, delivering client presentations, and leading workshops or training sessions.
  • A track record of introducing new technologies or architectural improvements that deliver measurable business outcomes.

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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