Senior Data Engineer (Snowflake)

Anywhere in Latin America

Open 3 months, first seen by us 118 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting
Employment: Contract — employment source
Employment type Contract
Employment type in the employer’s posting: Contract
From the employer’s posting

Before you apply

Work authorization: Must already have the right to workRight to Work

What you’ll work on

Full posting

Design and maintain Snowflake data models for engagement, reporting and activation
Create and maintain pipelines that sync customer data into Braze, Hightouch and other tools
Build customer-level data structures for segmentation and lifecycle marketing
Optimise Snowflake performance, cost efficiency and scalability
Ensure data quality, governance and compliance across customer-facing models

From the employer’s posting

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

Apply at Massive-Rocket

Posting record

Report an error

Open 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 8, 2026118 days ago
Recorded sightings: 44
Last seen by us: Nov 4, 2026
Employer says posted: Jun 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 118

Up longer than most. 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.

Massive-Rocket is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

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.

SQL
Census
dbt
Hightouch
Snowflake

Where the posting names them

- 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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About the role

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.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.

You’ll play a key role in helping clients turn fragmented customer data into actionable insights and scalable engagement strategies.

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
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
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
Collaborate closely with CRM, CDP, analytics, and marketing teams to ensure data supports business use cases

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
Experience supporting CRM and customer engagement platforms such as Braze, Salesforce Marketing Cloud, Bloomreach, or Adobe Campaign
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
Familiarity with consent management, privacy frameworks, and customer data governance
Experience working with multi-channel customer engagement data across email, push, SMS, web, and app
Ability to communicate complex customer data concepts to both technical and non-technical stakeholders

Desirable

Experience implementing or supporting CDPs such as Segment, mParticle, Tealium, or RudderStack
Familiarity with predictive modelling, AI-driven segmentation, or propensity scoring
Experience working with loyalty, retail, QSR, financial services, or subscription customer datasets
Understanding of Braze data structures, Currents, custom events, and Connected Content

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.

Employment type

Contract

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