Massive Rocket

Massive Rocket

Massive Rocket is a Global Braze & Snowflake Agency that helps companies use data to understand their customers, automate communications, and generate predictable growth. They specialize in building beautiful digital experiences and increasing customer...

Media
51-250
Founded 2018

Description

  • Lead, mentor, and scale a high-performing team of data engineers and data scientists.
  • Define the data architecture vision, technical standards, and best practices across client engagements.
  • Champion AI/ML initiatives, including opportunities for automation, modelling, and intelligent activation.
  • Oversee end-to-end delivery of data platforms, pipelines, and tooling across client projects.
  • Ensure data governance, security, and compliance across workflows.
  • Collaborate with CRM, Growth, and Strategy teams to align technical delivery with business objectives.
  • Partner with clients to translate business requirements into scalable technical solutions.
  • Manage vendor and platform relationships across cloud, data warehouse, and CDP ecosystems.
  • Optimise the performance, reliability, and cost efficiency of data infrastructure and operations.
  • Represent Massive Rocket’s data capabilities in client conversations, proposals, and strategic engagements.

Requirements

  • 7+ years in engineering leadership roles focused on data and AI technologies.
  • 10+ years of hands-on experience in data engineering and modern data stack architectures.
  • Proven experience managing and scaling cross-functional data teams with 5–8+ direct reports.
  • Strong track record in hiring, mentoring, and developing technical talent.
  • Experience delivering complex data programmes in high-growth or consulting environments.
  • Deep knowledge of enterprise data platforms such as Snowflake, BigQuery, Databricks, or similar.
  • Experience with CDPs and data integration tools such as Segment, mParticle, Hightouch, or equivalent.
  • Strong grounding in data architecture, governance, and security best practices.
  • Familiarity with AI/ML ecosystems and orchestration tools such as Airflow, dbt, SageMaker, and MLflow.
  • Solid understanding of cloud platforms including AWS, Azure, and GCP, plus modern DevOps practices.
  • Strong stakeholder management experience, including working with senior and C-level clients.
  • Ability to communicate complex technical concepts clearly to non-technical audiences.
  • Experience in agency or consultancy environments with client-facing responsibilities.
  • Strategic mindset balancing technical debt, scalability, and commercial delivery priorities.
  • English proficiency at C1 level.
  • Certifications in major cloud or data platforms such as AWS or Snowflake are preferred.
  • Experience with real-time and streaming technologies such as Kafka or Kinesis is preferred.
  • Background in MLOps and AI model deployment is preferred.
  • Experience in marketing technology, customer data, or e-commerce analytics is preferred.
  • Track record of scaling engineering teams in fast-growth environments is preferred.

Benefits

  • Remote-first work from anywhere you feel your best.
  • Clear career progression with real ownership and growth opportunities.
  • A supportive, people-first culture.
  • Opportunity to work with a global team across Europe, the US, and beyond.
  • Meetups, events, and team experiences that strengthen connection and culture.
  • Contract role with remote flexibility.
  • BYOD policy so you can use your own equipment for work.

Interested in this position?

Apply directly on the company website

Apply Now

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