At a Glance
- Tasks: Design and implement cutting-edge data architecture for AI/ML solutions.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Shape the future of data solutions and make a real impact in AI analytics.
- Qualifications: Experience in data architecture and strong SQL skills required.
The predicted salary is between 60000 - 80000 € per year.
The Data Architect is responsible for designing, implementing, and governing the organisation’s data architecture across SQL, NoSQL and modern analytics platforms, with a particular focus on Databricks. You will define end‑to‑end data solutions that support AI Coach analytics and AI/ML use cases, ensuring scalability, performance, security, and data quality.
Key Responsibilities
- Work with existing Insight Databricks team to design and own the enterprise data architecture, including data models, integration patterns and data flows across the AI Coach applications data layer.
- Design relational data models (OLTP and OLAP) for SQL platforms (e.g. SQL Server, PostgreSQL, Azure SQL etc.).
- Design schemas and data models for NoSQL stores (e.g. Cosmos DB, MongoDB, Cassandra, DynamoDB) aligned to access patterns and scalability needs.
- Define standards for data ingestion, transformation, storage, cataloguing, and consumption.
- Architect and guide the implementation of ELT/ETL pipelines in Databricks (PySpark/SQL), including streaming and batch workloads.
- Optimise Databricks clusters, jobs, and workflows for cost, performance, and reliability.
- Implement data governance, quality, and lineage in Databricks using Unity Catalog (or equivalent tools).
- Partner with data engineers to ensure best practices in code structure, testing, CI/CD, and deployment.
Data Governance, Quality & Security
- Define and enforce data standards, naming conventions, and modelling best practices.
- Define and support data quality rules, monitoring, and remediation processes.
Stakeholder Engagement & Strategy
- Collaborate with business stakeholders, product owners and analysts to translate requirements into scalable data solutions.
- Contribute to the data strategy, roadmap and architecture principles to support analytics, BI, and AI/ML initiatives.
Required Skills & Experience
- Technical Skills
- Strong experience as a Data Architect, Senior Data Engineer, or similar role in data-intensive environments.
- Advanced SQL skills, including complex queries, stored procedures, query tuning, and performance optimisation.
- Hands-on experience with at least one major relational database platform (e.g. SQL Server, PostgreSQL, Oracle, MySQL, Azure SQL).
- Hands-on experience designing and implementing solutions with at least one major NoSQL technology (e.g. MongoDB, Cosmos DB).
- Soft Skills
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Strong problem-solving and analytical skills; comfortable dealing with ambiguity.
- Collaborative mindset and experience working in cross-functional way with the rest of the AI Coach development team.
Data Architect in London employer: Insight
As a Data Architect at our innovative organisation, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a focus on employee well-being, all set in a vibrant location that fosters creativity and growth. Join us to be part of a forward-thinking team dedicated to shaping the future of data architecture and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on a job opening or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving SQL and NoSQL technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Databricks and how you've tackled data governance and quality issues in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Architect role. Highlight your experience with SQL, NoSQL, and Databricks, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data architecture and how your background aligns with our needs. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Include examples of complex SQL queries you've written or data models you've designed. This is your chance to shine and show us what you can bring to the table.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Insight
✨Know Your Data Inside Out
Make sure you brush up on your SQL and NoSQL skills before the interview. Be ready to discuss your experience with different databases, especially Databricks, and how you've designed data models in the past. Having specific examples of your work will show that you know your stuff!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you tackled them. Think of scenarios where you had to optimise performance or ensure data quality. This will demonstrate your analytical skills and ability to handle ambiguity, which are crucial for a Data Architect.
✨Communicate Clearly with Non-Techies
Since you'll be working with stakeholders who may not have a technical background, practice explaining complex concepts in simple terms. This will highlight your strong communication skills and your ability to collaborate effectively with cross-functional teams.
✨Understand the Bigger Picture
Familiarise yourself with the company's data strategy and how it aligns with their AI/ML initiatives. Being able to discuss how your role as a Data Architect fits into their overall goals will show that you're not just focused on the technical side but also understand the business impact of your work.
