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For Companies At a Glance
- Tasks: Design and implement cutting-edge data architecture for AI/ML solutions.
- Company: Join a Fortune 500 tech leader transforming businesses globally.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career advancement.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: Experience in data architecture and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
3-6 months Contract Hybrid
About Insight
Insight Enterprises, Inc. is a Fortune 500 solutions integrator helping organizations accelerate their digital journey to modernize their business and maximize the value of technology. Insight’s technical expertise spans cloud and edge-based transformation solutions, with global scale and optimization built on 33+ years of deep partnerships with the world’s leading and emerging technology providers.
In 2024, Insight had revenues of US$ 8.7 billion, and over 14,000 employees. It has a US$1.7 billion services business, bolstered by recent acquisitions in cloud, CRM, software engineering, and business consulting. In EMEA, Insight operates in Austria, Belgium, Bulgaria, France, Germany, Ireland, Italy, Moldova, Netherlands, Sweden, Romania, Saudi Arabia, Spain, Switzerland, UK, Ukraine, and United Arab Emirates.
Role Overview:
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:
- Architecture & Design
- 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.
- Databricks & Data Engineering
- 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 England employer: Insight
Contact Detail:
Insight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, having tangible examples of your work can really set you apart. Make sure to highlight any relevant experience with Databricks and data governance.
✨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 England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with SQL, NoSQL, and Databricks, and don’t forget to showcase any relevant projects that demonstrate your skills in data architecture.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific experiences that align with the job description and show your enthusiasm for working with Insight.
Showcase Your Technical Skills: Be sure to include any technical skills that are relevant to the position, especially your advanced SQL skills and experience with data governance. This will help us see how you can contribute to our team right away!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Insight
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of SQL and NoSQL databases, especially the ones mentioned in the job description like Databricks, Cosmos DB, and PostgreSQL. Be ready to discuss your past experiences with these technologies and how you've used them to solve real-world problems.
✨Showcase Your Architectural Skills
Prepare to talk about your approach to designing data architectures. Think of specific examples where you’ve defined data models or implemented ELT/ETL pipelines. Highlight your understanding of data governance and quality standards, as this will show you can handle the responsibilities of the role.
✨Communicate Clearly
Since the role involves collaborating with non-technical stakeholders, practice explaining complex concepts in simple terms. You might be asked to describe a technical project you worked on, so focus on how you communicated your ideas and ensured everyone was on the same page.
✨Be Ready for Problem-Solving Questions
Expect some scenario-based questions that test your problem-solving skills. Think about challenges you've faced in previous roles, particularly around data architecture or engineering, and how you overcame them. This will demonstrate your analytical mindset and ability to deal with ambiguity.