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Data Team Lead

1 month, 2 weeks ago
Latin America
Contract
Lead
Data Engineer
Data Science and Analytics
Apache Airflow AWS Azure Databricks dbt GCP Kafka Machine Learning MLflow MLOps SageMaker Segment Snowflake
Apply Now
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
View All Jobs 14

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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