高级数据工程师（Snowflake）
Senior Data Engineer (Snowflake)
我们是谁？
Massive Rocket 是一家快速发展的 Braze 和 Snowflake 代理公司，致力于改变数字营销、产品和工程团队之间的连接方式。在短短五年内，我们实现了快速增长，现在正准备迎接下一个重要里程碑：实现 1 亿美元的营收。我们通过前沿的网络、移动、云、数据和 AI 技术，打造可扩展的人类体验。如果你对创新充满热情，喜欢解决复杂问题，并希望塑造数字体验的未来，你会在这里找到归属感。
Massive Rocket 的每个职位都具有创业精神。在这里茁壮成长的人不仅关注自己的职责范围，还理解周围团队的目标，并积极为同事、客户和合作伙伴的成功做出贡献。我们正在打造一种以所有权、协作和成长为核心的文化，我们寻找希望产生真正影响的人。
我们正在寻找什么样的人加入我们的团队？
作为高级数据工程师，你将专注于设计和优化支持 CRM、个性化和受众激活的 Snowflake 环境和客户数据基础架构。
该职位主要围绕 Snowflake 架构、数据建模、客户身份、细分和启用下游工具（如 Braze、Hightouch 和 CDP）展开。
你将在帮助客户将零散的客户数据转化为可操作的洞察和可扩展的参与策略方面发挥关键作用。
你会做什么？
- 设计和维护支持客户参与、报告和受众激活的 Snowflake 数据模型
- 构建和优化用于细分、个性化和生命周期营销的客户级数据结构
- 将客户参与需求转化为可扩展的 Snowflake 模型和 CDP 就绪的模式
- 创建和维护将客户数据同步到 Braze、Hightouch 和其他下游工具的管道
- 与身份解析、同意框架、事件跟踪和客户资料统一合作
- 支持客户构建客户 360 视图，并提升跨渠道的受众准备度
- 优化大型数据集上的 Snowflake 性能、成本效率和可扩展性
- 确保面向客户的数据模型中的数据质量、治理和合规性
- 与 CRM、CDP、分析和营销团队紧密合作，确保数据支持业务用例
什么让你成为理想人选
- 对 Snowflake 有深入的理解，包括架构和建模
查看英文原文
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.
Originally posted on Himalayas