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Anywhere in Latin America
Actively hiring, first seen by us 11 days agoEmployment type Contract
Employment type in the employer’s posting: ContractFrom the employer’s posting
Right to Work
Design and maintain Snowflake data models for engagement, reporting and audience activation
Create and maintain pipelines that sync customer data into Braze, Hightouch and other tools
Build customer-level data structures for segmentation, personalisation and lifecycle marketing
Optimise Snowflake performance, cost efficiency and scalability across large datasets
Ensure data quality, governance and compliance across customer-facing data models
Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation
Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools
Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing
Optimise Snowflake performance, cost efficiency, and scalability across large datasets
Ensure data quality, governance, and compliance across customer-facing data models
Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 11
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience with reverse ETL tools such as Hightouch or Census - Strong SQL and dbt skills, with the ability to design scalable customer-centric data models - Familiarity with consent management, privacy frameworks, and customer data governance
- Strong understanding of customer events, user attributes, audience segmentation, and lifecycle marketing use cases - Experience with reverse ETL tools such as Hightouch or Census - Strong SQL and dbt skills, with the ability to design scalable customer-centric data models
As a Senior Data Engineer, you will focus on designing and optimising Snowflake environments and customer data foundations that power CRM, personalisation, and audience activation. This role is heavily centred around Snowflake architecture, data modelling, customer identity, segmentation, and enabling downstream tools such as Braze, Hightouch, and CDPs. You’ll play a key role in helping clients turn fragmented customer data into actionable insights and scalable engagement strategies.
- Translate customer engagement requirements into scalable Snowflake models and CDP-ready schemas - Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools - Work with identity resolution, consent frameworks, event tracking, and customer profile unification
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? As a Senior Data Engineer, you will focus on designing and optimising Snowflake environments and customer data foundations that power CRM, personalisation, and audience activation. This role is heavily centred around Snowflake architecture, data modelling, customer identity, segmentation, and enabling downstream tools such as Braze, Hightouch, and CDPs.
What Will You Do? - Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation - Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing
- Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing - Translate customer engagement requirements into scalable Snowflake models and CDP-ready schemas - Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools
- Support clients in building customer 360 views and improving audience readiness across channels - Optimise Snowflake performance, cost efficiency, and scalability across large datasets - Ensure data quality, governance, and compliance across customer-facing data models
What Makes You a Great Fit - Deep Snowflake expertise, including architecture, modelling, optimisation, and performance tuning - Strong experience with customer data platforms, identity resolution, and customer profile design
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
As a Senior Data Engineer, you will focus on designing and optimising Snowflake environments and customer data foundations that power CRM, personalisation, and audience activation.
This role is heavily centred around Snowflake architecture, data modelling, customer identity, segmentation, and enabling downstream tools such as Braze, Hightouch, and CDPs.
You’ll play a key role in helping clients turn fragmented customer data into actionable insights and scalable engagement strategies.
Contract
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Anywhere in Latin America
• 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
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)