Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimize data strategies using Snowflake, AI, and Machine Learning.
- Company: Join a leading global Digital, IT, and Network Services Consultancy.
- Benefits: Enjoy a competitive daily rate and hybrid work flexibility.
- Why this job: Work on cutting-edge technology and make a real impact in data transformation.
- Qualifications: Hands-on experience with Snowflake, AWS, and data governance is essential.
- Other info: Contract role with occasional travel to the London office.
Job Description
Data Architect (Snowflake, AI, Machine Learning, Data Strategy, Data Roadmaps)
3 Month Contract
Reading/ London (Hybrid)
£550-£600/day (Inside IR35)
A Data Architect needed with proven hands-on experience with Snowflake, AI, Machine Learning, AWS, Data Strategy, and Data Roadmaps for a fantastic contract opportunity in Reading/London.
On and off occasional travel required to the London office, likely 1-2 times per week.
A chance to work with an established global Digital, IT and Network Services Consultancy.
Key skills and experience:
- Proven hands-on experience with Snowflake, AWS, Tableau, Erwin, Kafka, Striims, Advanced Analytics,
- Experience with Snowflake, AI, Machine Learning, AWS, Data Strategy, and Data Roadmaps
- Data transformation & optimization of infrastructure to support advanced analytics, AI, and machine learning
- Migrate from legacy systems to modern, cloud-based data platforms, optimizing storage, integration, & access to improveperformance
- Expertise in managing industry-level data, developing strategic frameworks, and designing comprehensive Data Roadmaps is required.
- Proven experience in developing and executing data strategies.
- Expertise in data governance, privacy regulations, and security standards.
- Proficient in data analysis and business intelligence tools (e.g., Power BI, Tableau).
- Strong background in data modeling, database management, and ETL processes.
- Familiar with cloud platforms (AWS, Azure, Google Cloud) and big data technologies.
- Relevant certifications: CDMP, CBIP, Google Cloud Professional Data Engineer).
- IT Consultancy, Telecoms domain experience is desirable.
Data Architect employer: 810221
Contact Detail:
810221 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with Snowflake and AWS in your conversations. Highlight specific projects where you've utilized these technologies, as practical examples can really set you apart.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and machine learning, especially how they relate to data architecture. Being able to discuss current advancements and their implications will demonstrate your passion and expertise.
✨Tip Number 3
Prepare to discuss your experience with data governance and privacy regulations. This is crucial for the role, so having clear examples of how you've navigated these areas will show that you're well-versed in industry standards.
✨Tip Number 4
Network with professionals in the IT consultancy and telecoms domain. Engaging with others in the field can provide insights and potentially lead to referrals, which can be a great advantage in landing this contract.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your hands-on experience with Snowflake, AI, Machine Learning, and AWS in your CV and cover letter. Use specific examples to demonstrate how you've successfully implemented data strategies and developed data roadmaps.
Showcase Technical Skills: Clearly list your technical skills related to data architecture, such as proficiency in Tableau, Erwin, Kafka, and advanced analytics tools. Mention any relevant certifications like CDMP or Google Cloud Professional Data Engineer to strengthen your application.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Address the key skills and experiences mentioned, such as data transformation, optimization of infrastructure, and expertise in data governance.
Professional Presentation: Ensure that your application documents are well-organized and professionally formatted. Use clear headings, bullet points for easy reading, and check for any grammatical errors before submission.
How to prepare for a job interview at 810221
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Snowflake, AWS, and machine learning. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the role.
✨Discuss Data Strategy and Roadmaps
Make sure to articulate your understanding of data strategies and how you have developed data roadmaps in previous roles. This is crucial for the position, so come equipped with examples that showcase your strategic thinking.
✨Emphasize Your Problem-Solving Skills
Prepare to discuss challenges you've faced in data transformation and optimization. Share how you approached these issues and the solutions you implemented, as this will illustrate your analytical skills and ability to adapt.
✨Familiarize Yourself with Industry Standards
Since data governance and privacy regulations are key aspects of the role, brush up on relevant standards and be ready to discuss how you've ensured compliance in past projects. This will show your commitment to maintaining high standards in data management.
