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For Companies At a Glance
- Tasks: Design and develop scalable data models, integrate data sources, and optimise database performance.
- Company: Join Test Triangle, a leading IT services and consulting firm in Warwick.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data management and technology.
- Qualifications: Bachelor's or Master's in Computer Science; strong SQL, KQL, and Big Data skills required.
- Other info: Ideal for those with 8-10 years of experience in data architecture.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking an experienced and highly skilled Data Architect to join our team. The ideal candidate will have a robust understanding of SQL, KQL, various data platforms, Data Fabric, and Big Data technologies. The Data Architect will play a crucial role in designing, developing, and optimizing our data infrastructure to ensure efficient and effective data management and utilization.
Key Responsibilities
- Design and Development: Architect, design, and develop scalable and robust data models and structures to support various business needs.
- Data Integration: Integrate disparate data sources into a unified system ensuring data consistency and quality.
- Data Management: Implement data management strategies, including data governance, data quality, and data lineage.
- Optimization and Performance Tuning: Optimize database performance and data processing workflows to ensure high efficiency.
- Data products: Create Data contracts and processes to create/update Data products.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data products.
- Documentation: Create and maintain comprehensive documentation for data architecture, data flows, and infrastructure.
- Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations and policies.
Required Skills And Qualifications
- Educational Background: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
- Experience: Proven experience as a Data Architect or in a similar role.
- Technical Proficiency: Strong knowledge of SQL and KQL; experience with various data platforms (relational, NoSQL, cloud); familiarity with Data Fabric concepts; hands-on experience with Big Data technologies (Hadoop, Spark, Kafka); experience with telemetry and semi-structured data.
- Analytical Skills: Excellent problem-solving skills for analyzing complex data requirements and designing solutions.
- Communication Skills: Strong verbal and written communication skills to convey technical information effectively.
- Attention to Detail: High accuracy and attention to detail in all aspects of work.
Preferred Qualifications
- Experience with data visualization tools (Power BI, Tableau).
- Familiarity with machine learning and AI concepts.
- Certification in relevant technologies or methodologies.
- Knowledge of IoT (Internet of Things).
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
Solution Architect - L1 employer: Test Triangle
Contact Detail:
Test Triangle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect - L1
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in IoT and Big Data. 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 data architecture field, especially those who have experience with SQL, KQL, and various data platforms. Attend industry meetups or webinars to expand your connections and gain insights.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully integrated disparate data sources or optimised database performance. Real-world examples can significantly strengthen your case during interviews.
✨Tip Number 4
Showcase your communication skills by being clear and concise when discussing technical concepts. Being able to explain complex ideas simply can set you apart from other candidates.
We think you need these skills to ace Solution Architect - L1
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience and skills relevant to the Solution Architect role. Emphasise your expertise in SQL, KQL, and any Big Data technologies you've worked with, as well as your understanding of IoT.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities mentioned in the job description. Explain how your previous experiences align with the requirements, particularly in data integration and management.
Showcase Your Projects: Include specific examples of projects where you designed and developed data models or optimised data workflows. This will demonstrate your practical experience and problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Test Triangle
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, KQL, and various data platforms during the interview. Be prepared to discuss specific projects where you successfully implemented these technologies, as this will demonstrate your technical proficiency.
✨Understand Data Integration
Since the role involves integrating disparate data sources, be ready to explain your approach to data integration. Discuss any challenges you've faced in previous roles and how you overcame them to ensure data consistency and quality.
✨Emphasise Collaboration
Collaboration is key in this role, so be prepared to talk about your experience working with data scientists, analysts, and other stakeholders. Share examples of how you’ve effectively communicated technical information to non-technical team members.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical skills and problem-solving abilities. Think of complex data requirements you've encountered and how you designed solutions to address them. This will showcase your critical thinking and attention to detail.
