At a Glance
- Tasks: Transform complex data visions into scalable solutions for global brands.
- Company: Join a dynamic team at Massive Rocket, where collaboration and growth thrive.
- Benefits: Enjoy remote work, career progression, and a supportive culture.
- Other info: Experience rapid growth and connect with a global team.
- Why this job: Make a real impact with cutting-edge data solutions and innovative projects.
- Qualifications: 8+ years in Snowflake development and strong SQL skills required.
The predicted salary is between 70000 - 90000 € per year.
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.
We are seeking a Principal Data Architect who thrives on transforming complex client visions into scalable reality for Global brands. You will lead high-stakes discovery sessions, uncovering unique data narratives for major enterprises and crafting bespoke technical roadmaps that drive measurable business value. Beyond design, you will be the guiding light for our data engineering pods, empowering them to envision and deliver transformative solutions.
What Will You Do?
- Data Solution Design and Implementation
- Setting up and maintaining ETL pipelines in the Snowflake environment across a variety of architectures (real-time and batch, internal/external storage systems, dynamic tables, tasks).
- Implement Snowflake solutions that integrate seamlessly with existing data architecture.
- Optimize the performance of Snowflake databases, including designing and implementing data structures and using indexes appropriately.
- Deploying and configuring tools to monitor and report on the performance of the Snowflake system.
- Ensure data quality and integrity across all Snowflake data solutions (QA process, Unit Tests…).
- Data Analysis and Storytelling
- Use large datasets and a variety of analytical techniques to tell compelling stories with the data in an easy-to-understand manner.
- Translate complex data analyses into actionable insights and recommendations for business stakeholders.
- Strategic Data Utilisation for Customer Engagement through Braze
- Help build Snowflake into the core source of data to power Braze and Customer Engagement initiatives.
- Be able to work through a Customer Engagement data plan and translate it into an actionable set of data models in Snowflake.
- Understand and work with core Customer Engagement and Braze concepts such as custom events, user attributes and syncing data from Snowflake into Braze.
- Collaboration and Support
- Collaborate with data engineers, analysts, and other stakeholders to ensure alignment on data strategy and implementation.
- Provide technical support and guidance to team members on Snowflake best practices and optimization techniques.
- Support customers in leveraging unused features of the Snowflake platform that can either provide efficiencies or cost-savings across the stack.
- Align with the internal CDP and CRM team to work on the data plan and therefore power the Braze platform in the most efficient way possible.
What Makes You a Great Fit
- Bachelor's degree in Computer Science, Information Technology, or equivalent work experience.
- 8+ years of working as Snowflake Developer or in a similar role.
- 6+ years of experience in SQL and data modeling and ETL processes.
- 2+ years of experience of working with Python.
- Experience of working with DBT.
- Experience with Snowflake features such as Snowpipe, Snowflake Data Sharing, and Snowflake Secure Data Sharing.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data integration tools.
- Proven ability in leveraging AI tools to enhance productivity in day-to-day professional tasks.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience working in an agency setting or experience working with external clients.
- English C1.
Preferred
- Snowflake certification.
- Experience with other data warehousing solutions (e.g., Redshift, BigQuery).
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Understanding of data governance and security best practices.
- Experience working in Scrum.
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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Architect employer: Massive Rocket
At Massive Rocket, we foster a culture of ownership and collaboration, empowering our employees to make a real impact while working on transformative data solutions for global brands. With a remote-first approach, we offer unparalleled growth opportunities, a supportive work environment, and the chance to collaborate with talented individuals across the globe, ensuring that every team member can thrive and develop their career in meaningful ways.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at Massive Rocket or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. You’ll want to showcase how your experience aligns with the role of a Data Architect. Use real examples to demonstrate your problem-solving abilities and how you've made an impact in previous roles.
✨Tip Number 3
Don’t forget to research the company culture! Massive Rocket values collaboration and ownership, so think about how you can show you embody these traits during your conversations. It’s all about fitting in and contributing to their mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the team. Keep an eye on new openings as we’re growing fast!
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Architect role. Highlight your experience with Snowflake, SQL, and data modelling, and show how your skills align with our mission at Massive Rocket.
Showcase Your Storytelling Skills:We love candidates who can turn complex data into compelling narratives. Use examples from your past work to demonstrate how you've translated data insights into actionable recommendations for stakeholders.
Be Clear and Concise:When writing your application, keep it straightforward. Avoid jargon where possible and make sure your key achievements stand out. We want to see your impact without wading through unnecessary fluff!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come in directly!
How to prepare for a job interview at Massive Rocket
✨Know Your Snowflake Inside Out
Make sure you’re well-versed in Snowflake features like Snowpipe and Data Sharing. Prepare to discuss how you've implemented these in past projects, as this will show your hands-on experience and understanding of the platform.
✨Craft Your Data Story
Be ready to explain complex data analyses in a way that’s easy for non-technical stakeholders to grasp. Think of examples where you’ve turned data into actionable insights, as storytelling is key in this role.
✨Show Your Collaborative Spirit
Massive Rocket values teamwork, so come prepared with examples of how you’ve collaborated with data engineers and analysts. Highlight any experiences where you’ve aligned on data strategies or provided technical support to team members.
✨Prepare for High-Stakes Discovery Sessions
Since you'll be leading discovery sessions, practice how you would uncover unique data narratives. Think about questions you might ask clients to understand their needs better and how you can translate those into scalable solutions.