At a Glance
- Tasks: Design and implement data architectures for innovative financial solutions.
- Company: Moonfare, a leading firm in private market investments.
- Benefits: Competitive salary, diverse team, and opportunities for personal growth.
- Other info: Join a diverse team committed to excellence and client success.
- Why this job: Shape the future of finance with cutting-edge data strategies and AI.
- Qualifications: Experience in enterprise data architecture and financial services.
The predicted salary is between 70000 - 90000 £ per year.
Join the team rewriting the rules in private markets. Moonfare delivers what few others can: the highly sought‑after funds and hidden‑gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result? Institutional‑quality portfolios for investors who demand more. Our team combines finance veterans with talent from tech, consulting, law and industries you’d never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia. If you're ready to build what's next in private markets, let's talk.
We at Moonfare define the role of Data Architect as someone who can design both the data structures (data objects), as well as the data machinery (data pipes, data stores, interfaces) on and through the data objects move. The data objects have to be designed to reflect our business, satisfy the needs of all stakeholders and allow for efficient processing on data machinery. Your role is critical in positioning the firm for AI and advanced analytics adoption while ensuring high standards of data quality and security.
You will:
- Act as the lead authority on data architecture, ensuring seamless alignment between business objectives, data strategy, and technology solutions.
- Design and maintain logical and physical data models, schemas and structures specifically tailored to support reporting, analytics and effective operational processing. This includes utilizing both dimensional and operational warehouse modeling techniques.
- Oversee data integration processes and recommend management tools to enhance infrastructure, ensuring the accurate and timely flow of data between systems, applications and platforms.
- Develop a comprehensive data strategy that supports financial business objectives and drives governance frameworks to ensure compliance with strict regulatory requirements and data privacy obligations.
- Manage enterprise data assets, including metadata repositories and data lineage documentation, to ensure they are accessible and up to date.
The Next Moonfarian:
- Must have a proven track record in designing and implementing enterprise data architectures within a regulated financial services environment.
- Possesses strong expertise in enterprise data modeling principles, with a specific background in both dimensional and operational modeling applicable to the finance sector.
- Can demonstrate experience in data integration, ETL processes and database management across multiple platforms.
- Has experience in delivering AI and advanced analytics projects from inception to production.
- Is comfortable with modern data platforms, cloud‑based technologies (data lake/big data) and tools for metadata management and data lineage.
- Has the ability to translate complex technical concepts into clear, actionable insights for non‑technical stakeholders across the organization.
We still encourage you to apply even if you do not meet all of the requirements.
Our Values:
- Client‑Centric Focus: Our clients come first, Moonfare comes second, and we prioritise ourselves third. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company’s commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests.
- Commitment to Excellence: We pursue excellence and honour our promises. We hold ourselves to the highest standards, take responsibility for our failures, celebrate our successes, commit to deadlines and learn from our mistakes.
- Win together: We are here to win and to celebrate our collective achievements. We are mission‑focused and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed.
- Growth and Merit: We foster personal growth but each of us earns our place as a Moonfarian through merit. We hire, retain and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day.
We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We’re committed to developing an inclusive and safe culture where everyone – regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity – knows that they are an integral part of the team and can bring their full potential to their work.
Senior Data Architect (m/f/d) employer: Moonfare
Moonfare is an exceptional employer that champions a client-centric focus while fostering a culture of excellence and personal growth. Based in Berlin, we offer our employees the opportunity to work alongside finance veterans and tech talents in a dynamic environment that prioritises merit and inclusivity. With a commitment to empowering our team members and investing in their development, Moonfare provides a unique platform for meaningful contributions in the evolving landscape of private markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect (m/f/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Moonfare. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in data architecture and analytics. This is your chance to demonstrate how you can add value to Moonfare's mission.
✨Tip Number 3
Be ready for the interview! Research Moonfare’s values and be prepared to discuss how your experience aligns with their client-centric focus and commitment to excellence. Show them you’re not just a fit for the role, but for the culture too.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Moonfare team.
We think you need these skills to ace Senior Data Architect (m/f/d)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Architect role. Highlight your experience in enterprise data architectures and how it aligns with our mission at Moonfare. We want to see how you can contribute to our goals!
Showcase Your Expertise:Don’t hold back on showcasing your skills in data modelling, integration, and AI projects. We’re looking for someone who can demonstrate a solid track record in these areas, so make sure to include relevant examples that reflect your expertise.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain complex concepts, as we value the ability to communicate effectively with both technical and non-technical stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join the Moonfare team!
How to prepare for a job interview at Moonfare
✨Know Your Data Inside Out
As a Senior Data Architect, you need to be well-versed in data architecture principles. Brush up on your knowledge of enterprise data modeling, ETL processes, and cloud-based technologies. Be ready to discuss specific examples from your past experiences that showcase your expertise in these areas.
✨Align with Business Objectives
Moonfare values alignment between data strategy and business goals. Prepare to articulate how your previous work has supported financial objectives and enhanced governance frameworks. Think about how you can translate complex technical concepts into actionable insights for non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Expect questions that assess your ability to tackle challenges in data integration and management. Prepare to share stories where you successfully navigated obstacles, particularly in regulated environments. Highlight your experience in delivering AI and advanced analytics projects from inception to production.
✨Emphasise Team Collaboration
At Moonfare, teamwork is key. Be ready to discuss how you've collaborated with cross-functional teams in the past. Share examples of how you’ve fostered a culture of excellence and commitment to collective success, as this aligns with their values of winning together and personal growth.