At a Glance
- Tasks: Lead the design of innovative data and AI solutions while mentoring junior architects.
- Company: A forward-thinking company prioritising diversity, inclusion, and technical excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with a commitment to ethical AI and cutting-edge technology.
- Why this job: Shape the future of data architecture and make a real impact in AI innovation.
- Qualifications: 8+ years in data architecture, strong communication skills, and industry certifications.
The predicted salary is between 80000 - 100000 € per year.
We are committed to fostering equal opportunities, with diversity, inclusion, and fairness forming a fundamental part of both our client engagements and internal workplace culture.
As a Data & ML Architect, you will be responsible for:
- Strategic Leadership: Setting the vision and direction for data and AI architecture for project and client. Influencing enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture. Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.
- Architectural Excellence: Architecting and designing enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance. Defining and enforcing data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms. Leading solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Overseeing the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluating and recommending emerging AI/ML technologies and platforms, driving innovation in intelligent data products. Providing Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.
- Technical Leadership: Overseeing data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards. Collaborating with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guiding the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).
- Stakeholder Engagement: Engaging with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps. Ensuring all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles. Applying modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leveraging platforms such as AI/ML, Big Data, and Data Lakehouse.
What you already have:
- Minimum 8 years’ experience in client-facing roles specializing in Data and Architecture roles.
- Experience in both Agile and Waterfall project environments.
- Strong stakeholder management and communication skills.
- Security and compliance awareness.
- Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).
- Experience mentoring or managing technical teams.
Data & ML Architect employer: WhiteCrow Research
As a leading employer in the tech industry, we pride ourselves on our commitment to diversity, inclusion, and fairness, creating a vibrant workplace culture that values every voice. Our Data & ML Architect role offers exceptional opportunities for professional growth through mentorship and collaboration with talented teams, while working on cutting-edge projects that drive innovation in data and AI architecture. Located in a dynamic environment, we provide a supportive atmosphere where you can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data & ML Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and ML space. Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that Data & ML Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data platforms and ML solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss architectural standards and governance frameworks, as well as how you’ve mentored teams in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who align with our values of diversity and inclusion. Your next big opportunity could be just a click away!
We think you need these skills to ace Data & ML Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data & ML Architect role. Highlight your experience in data architecture, ML solutions, and any relevant certifications to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI architecture, and how your vision aligns with our commitment to diversity and innovation at StudySmarter.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention specific tools and technologies you've worked with, like Azure, AWS, or GCP, and how you've applied them in real-world scenarios to drive results.
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 on joining the StudySmarter team!
How to prepare for a job interview at WhiteCrow Research
✨Know Your Data & ML Stuff
Make sure you brush up on the latest trends and technologies in data architecture and machine learning. Be ready to discuss your experience with Azure, AWS, and GCP services, as well as any relevant projects you've worked on. This shows you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Data & ML Architect, you'll need to demonstrate your ability to lead and mentor others. Prepare examples of how you've influenced teams or driven best practices in previous roles. Highlight any experience you have in fostering a culture of technical excellence and innovation.
✨Engage with Stakeholders
Be ready to talk about how you've translated complex business requirements into technical solutions. Think of specific instances where you've engaged with senior stakeholders and how you ensured that your solutions met security, compliance, and performance standards.
✨Prepare for Technical Questions
Expect to face some tough technical questions during your interview. Brush up on data modelling concepts like medallion architecture and be prepared to discuss MLOps frameworks. Familiarise yourself with CI/CD processes and tools like Azure DevOps, Kubernetes, and Terraform, as these are crucial for the role.
