---
title: 'Principal Data Architect at Massive Rocket'
canonical: 'https://feeny.ai/job/principal-data-architect-massive-rocket-in-latin-ch46watpdcy7'
type: 'job'
last_seen: '2026-10-29'
---

# Principal Data Architect at Massive Rocket

- **Company:** Massive Rocket
- **Location:** IN Latin, United States
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-29
- **Apply:** https://jobs.lever.co/massive-rocket/60f9885f-bce0-4950-853f-e62ebd9c000d

## Job description

Who Are Massive Rocket? Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here.

Every role at Massive Rocket is entrepreneurial. The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners. We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact.

Who Are We Looking to Add to Our Team? We’re looking for an experienced Lead Data Engineer to design and deliver scalable, high-performance data solutions for our clients. You’ll lead data engineering initiatives, build and optimise data pipelines and models, and connect complex data sources to power analytics, customer engagement, and business decisions. Working closely with Data, CRM, and CDP teams, you’ll bring strong technical expertise across modern data platforms, with a focus on Snowflake, SQL, Python, and dbt. You’ll also guide engineering best practices, explore new technologies and AI tools, and help clients get more value from their data infrastructure. What Will You Do? Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time data architectures. Develop and optimise data models, transformations, and workflows using SQL, Python, and dbt. Build and maintain integrations across cloud data platforms, warehouses, and external data sources Improve database performance, data reliability, and cost efficiency through monitoring and optimisation. Implement data quality checks, unit tests, and validation processes to maintain data integrity. Translate customer engagement and CRM data requirements into actionable data models and pipelines that power Braze and other platforms. Work with customer events, user attributes, identity resolution, and data synchronisation to support personalised customer experiences. Collaborate with Data, Analytics, CRM, and CDP teams to align technical solutions with client requirements and business goals. Provide technical leadership, guidance, and best practices to engineers and help drive continuous improvement. Identify opportunities to use AI tools, automation, and emerging technologies to improve engineering productivity and data workflows. Support multiple client engagements, communicate technical recommendations clearly, and adapt to changing priorities. What Makes You a Great Fit 5+ years of experience in data engineering, data platforms, or a similar technical role, with strong ownership of architecture, implementation, and optimisation. 4+ years of hands-on experience with SQL, data modelling, and ETL/ELT processes. 2+ years of experience using Python to build data applications and transformations. Practical experience with dbt and modular data transformation. Experience with cloud platforms such as AWS, Azure, or Google Cloud, and modern data integration tools. Strong understanding of data architecture, pipeline design, database performance, testing, and data quality. Experience translating business and customer engagement requirements into reliable data solutions. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience working in an agency or consulting environment, managing multiple clients and adapting to changing priorities. A proactive approach to problem-solving, continuous learning, and using AI tools to improve day-to-day productivity. Ability to work independently while collaborating effectively with cross-functional teams. Strong written and verbal English communication skills (C1 level or equivalent). Desirable Hands-on experience with Snowflake, Hightouch, mParticle, or Databricks. Snowflake SnowPro Advanced: Architect or Data Engineer certification. Experience with customer data platforms (CDPs), identity resolution, audience activation, and real-time data synchronisation. Familiarity with Braze, CRM platforms, and customer engagement data models. Experience with other cloud data warehouses, such as BigQuery or Redshift. Knowledge of data visualisation tools such as Power BI or Tableau. Understanding of data governance, privacy, security, and access controls. Exposure to AI/ML architectures, cloud-native AI services, or agentic workflows. Experience working in Agile or Scrum environments.

## Why You’ll Love Working Here

- Rocket‑Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else
- A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win
- A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond
- Remote‑First for Life – Work from wherever you feel your best
- Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter
- Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable

A Few Things to Know Before We Get Started Bring Your Own Device – We operate a BYOD policy, so you’ll use your own kit for work Right to Work – You’ll need a valid work visa; we’re not able to offer sponsorship at the moment ID Checks – We may ask for proof of identity (passport, ID card, or a recent utility bill) References – We may request two references, so have names, relationships, and contact details ready For Contractors – Proof of incorporation and up‑to‑date insurance is required

A Quick Note on Applications We receive a high volume of applications, and while we’d love to reply to everyone personally, it’s not always possible. If you haven’t heard from us within two weeks, it sadly means you haven’t been successful this time. But don’t let that stop you—we’re growing fast, and new opportunities open up all the time.

## About Massive Rocket

## Company Overview
- **One-liner**: Massive Rocket is a global Braze and Snowflake agency that helps enterprise brands accelerate customer loyalty through AI-powered first-party data strategies, cross-channel engagement, and CRM consulting.
- **Entity Type**: Private (funding stage not disclosed; likely bootstrapped)
- **Headquarters**: London, England, United Kingdom
- **Founded**: 2018
- **Founders**: Not publicly disclosed (CEO is Thierry Sequeira)

## Core Business
- **Primary industries**: IT Services and IT Consulting; Customer Engagement & Data; Marketing Technology
- **Target customers**: Enterprise B2C brands (global leaders) – B2B
- **Mission/purpose**: “Accelerate customer loyalty for global brands by combining deep technical expertise with creativity and AI to unlock the power of first-party data” [massiverocket.com/who-we-are](https://www.massiverocket.com/who-we-are)

## Products & Services
- **Braze Implementation & Migration**: Expert setup, migration, and integration of Braze to deliver rapid time-to-value [massiverocket.com]
- **Snowflake Data Engineering**: Architecting and optimizing data pipelines, including senior data engineering contracts (Snowflake, Databricks) [jobs.lever.co/massive-rocket](https://jobs.lever.co/massive-rocket)
- **AI-Powered Personalization & Decisioning**: Real-time, personalized experiences and automated intelligent decision-making at scale [massiverocket.com]
- **Cross-Channel Activation**: Email, push, in-app, SMS, and web campaigns designed to drive retention and loyalty [massiverocket.com]
- **Marketing Technology Stack Design**: End-to-end architecture and optimization of customer engagement ecosystems (Braze, Snowflake, mParticle, Segment, etc.) [massiverocket.com]

## Market Standing
- **Valuation / Market Cap**: Not publicly available
- **Key Metric**: Revenue not disclosed; total funding not disclosed. Headcount = 81 employees (yearly growth +4.7%, monthly decline -8.2% as of mid-2026) [linkedin.com/company/massiverocket](https://linkedin.com/company/massiverocket)
- **Notable Investors / Partners**: Certified Braze and Snowflake agency partner; clients are global brands (names not specified) [massiverocket.com]
- **Growth Signals**: 200+ enterprise implementations worldwide; global delivery centers across US, EMEA, and APAC; team spread across 17 countries; active job postings (3 open roles), though headcount monthly growth slightly negative [linkedin.com; massiverocket.com]

## Competitive Advantages
- **Certified Agency Partner**: Both Braze and Snowflake certified – a rare dual specialization [massiverocket.com]
- **Deep AI & Data Expertise**: Combination of AI, customer data platforms (CDPs), and omnichannel marketing in one consultancy
- **Global Delivery Model**: Offices in the UK plus remote teams across Europe, LATAM, India, and APAC enabling 24/7 coverage
- **Proven Track Record**: 200+ enterprise implementations with measurable results in retention, engagement, and revenue [massiverocket.com]

## Strategic Focus
- **First‑Party Data & AI**: Helping brands pivot from third‑party cookies to owned data strategies using Braze, Snowflake, and AI-driven personalization.
- **Expansion of Delivery Locations**: Actively hiring contractors in Latin America (Data Engineers, CRM Consultants) and Europe (Senior Data Engineers) to scale global capacity [jobs.lever.co/massive-rocket]
- **Continued Partnership Growth**: Deepening integration with Braze and Snowflake as both platforms evolve.

## Why Work Here
- **100% Remote Forever**: “Always” remote setup – team members work from anywhere; no co‑location requirement [insights.massiverocket.com](https://insights.massiverocket.com/faq-joining-massive-rocket/)
- **Global & Diverse Team**: Colleagues across 17 countries, with a strong international culture and occasional in‑person meetups [linkedin.com]
- **Career Development**: Fast-moving environment, opportunities for advancement, and leadership roles; promotional paths from Consultant to Team Lead to Head of Department [linkedin.com; careers page]
- **Perks & Benefits**:
  - 21 days annual leave (accrued monthly) + bank holidays (based on country of residence) + 1 birthday day off
  - UK employee pension via Nest (3% employer, 5% employee mandatory)
  - Online team events and a supportive, kind culture [insights.massiverocket.com]
- **Engineering Culture**: Focus on modern data stacks (Snowflake, Databricks, Braze, CDPs) and AI tooling; a “bring your own device” policy (use own laptop) [insights.massiverocket.com]

## Sources
1. [LinkedIn Company Page](https://linkedin.com/company/massiverocket)
2. [Massive Rocket – Who We Are](https://www.massiverocket.com/who-we-are)
3. [Massive Rocket Careers Page](https://www.massiverocket.com/careers)
4. [Massive Rocket Job Board (Lever)](https://jobs.lever.co/massive-rocket)
5. [FAQ – Joining Massive Rocket](https://insights.massiverocket.com/faq-joining-massive-rocket/)

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