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For Companies At a Glance
- Tasks: Design and deliver scalable data architectures while mentoring engineering teams.
- Company: Join a PE-backed leader in Satellite Communications, shaping the future of data architecture.
- Benefits: Enjoy remote work flexibility with occasional travel across Europe for collaboration.
- Why this job: Be part of a transformative journey, enhancing your skills in AI/ML-driven projects.
- Qualifications: Experience in modern data platforms and cloud technologies is essential.
- Other info: This role offers a unique chance to influence data governance and best practices.
The predicted salary is between 48000 - 72000 £ per year.
La Fosse have partnered with a PE-backed client in the Satellite Communications domain to recruit a Data Architect. You'd be joining at a pivotal time as the current data architecture maturity level is low, so there's a real opportunity to help to build out the function. The role requires a strong foundation in data architecture, ideally with hands-on involvement in AI/ML-driven projects, so would be perfect for someone looking to increase their exposure in this space!
Key Responsibilities
- Define and deliver scalable data architectures, standards, and models
- Translate complex requirements into robust design for research and operational use
- Support data engineering teams with guidance, mentoring, and hands-on collaboration
- Ensure data governance, quality, and compliance (including regulated environments)
- Produce architecture artefacts and ensure alignment via governance processes
- Contribute to a library of best practices, technical standards, and patterns
- Optimise data flows, lifecycle, and integration across platforms
Experience Required
- Proven experience designing modern data platforms
- Strong understanding of data governance, cataloguing, and data lifecycle
- Experience with cloud data platforms
- Familiarity with AI/ML driven data processing would be highly beneficial.
This is a primarily remote role, requiring occasional travel across Europe to the client's international offices.
Contact Detail:
La Fosse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture, especially around AI and ML. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the satellite communications and data architecture fields. Attend relevant webinars or local meetups to connect with industry experts who can provide insights and potentially refer you to opportunities.
✨Tip Number 3
Prepare to discuss your hands-on experience with cloud data platforms. Be ready to share specific examples of how you've designed scalable data architectures and contributed to data governance in previous roles.
✨Tip Number 4
Showcase your ability to mentor and guide teams. Highlight any past experiences where you've supported data engineering teams, as this is a key responsibility for the Data Architect role.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and any hands-on involvement in AI/ML projects. Use specific examples to demonstrate your skills and achievements relevant to the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Discuss how your background aligns with the key responsibilities and required experience, particularly in designing modern data platforms and ensuring data governance.
Showcase Relevant Projects: If you have worked on projects that involved building scalable data architectures or optimising data flows, be sure to include these in your application. Highlight your role and the impact of your contributions.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Architect role.
How to prepare for a job interview at La Fosse
✨Showcase Your Technical Expertise
Make sure to highlight your experience with data architecture and any hands-on involvement in AI/ML projects. Be prepared to discuss specific examples of how you've designed modern data platforms and the impact of your work.
✨Understand Data Governance
Since the role requires a strong understanding of data governance, be ready to explain your approach to ensuring data quality and compliance. Discuss any relevant experiences you have had in regulated environments.
✨Demonstrate Collaboration Skills
This position involves mentoring and collaborating with data engineering teams. Share examples of how you've successfully worked in teams, provided guidance, and contributed to best practices in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in optimising data flows or integrating platforms, and be ready to discuss your thought process and solutions.
