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Massive Rocket

Automated CRM program execution platform

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeSouth AmericaNo 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.
  • Proven 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 sources.
  • Extensive experience in data modelling, pipeline architecture, reverse ETL, data integration, and performance optimisation.
  • Strong SQL and Python skills, with experience in version control, CI/CD, and modern engineering practices.
  • Ability to lead discovery, translate business requirements into technical designs, and communicate architecture decisions to technical and non-technical stakeholders.
  • Experience estimating and documenting technical solutions, managing scope, and securing client sign-off.
  • Proven ability to mentor engineers and guide technical delivery across multiple projects.
  • Experience in an agency or consulting environment, managing multiple client engagements.
  • Willingness to travel to client locations when required.
  • A valid work visa is required; the employer is unable to offer sponsorship.
  • For contractors, proof of incorporation and up-to-date insurance is required.

Responsibilities

  • Lead client discovery workshops to assess existing data platforms, identity frameworks, integrations, and business requirements.
  • Design scalable data architectures integrating Snowflake, Databricks, mParticle, Hightouch, Braze, and wider MarTech ecosystems.
  • Define data models, identity resolution, consent, governance, and data quality standards across multiple brands and markets.
  • Develop technical roadmaps, scope delivery phases, estimate effort, and secure client approval before implementation.
  • Evaluate data technologies and tools to ensure they meet business requirements, performance expectations, and commercial objectives.
  • Guide Data Engineering teams in implementing and optimising data pipelines, including batch, event-driven, and low-latency data flows.
  • Establish data validation, monitoring, performance optimisation, and engineering best practices.
  • Translate complex data analysis and technical designs into clear recommendations and business value for client stakeholders.
  • Mentor engineers and consultants, conduct technical reviews, and promote continuous improvement across delivery teams.
  • Support proposals, pitches, workshops, and strategic initiatives while identifying opportunities to expand client engagements.

Desired Qualifications

  • Certifications in Snowflake, data architecture, or relevant CDP and MarTech platforms.
  • Familiarity with Braze, Amplitude, GA4, and marketing automation within modern warehouse-centric architectures.
  • Strong understanding of data privacy, security, consent, and regulatory requirements.
  • Experience developing technical proposals, delivering client presentations, and leading workshops or training sessions.
  • A track record of introducing new technologies or architectural approaches that improve performance, efficiency, and 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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