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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.
The predicted salary is between 110000 - 150000 £ per year.
Join to apply for the Data Architect role at Usedtrucksfrsaleusa.com
3 days ago Be among the first 25 applicants
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 improve performance.
- 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.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Data Infrastructure and Analytics
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Data Architect employer: Usedtrucksforsaleusa
Contact Detail:
Usedtrucksforsaleusa 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 successfully implemented these technologies, as this will demonstrate your practical knowledge and problem-solving skills.
✨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 applications in real-world scenarios can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with data governance and privacy regulations. Companies are increasingly focused on compliance, so being able to articulate your understanding of these areas will be a significant advantage.
✨Tip Number 4
Network with professionals in the IT consultancy and telecoms domain. Engaging with industry peers can provide valuable insights and potentially lead to referrals, which can greatly enhance your chances of landing the job.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Architect position. Highlight key skills and experiences required, such as Snowflake, AI, and Machine Learning, and think about how your background aligns with these requirements.
Tailor Your CV: Customize your CV to emphasize your hands-on experience with the technologies mentioned in the job description. Include specific projects or roles where you utilized Snowflake, AWS, or advanced analytics tools.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your understanding of data strategy and governance. Mention your experience with data transformation and how it can benefit the company.
Highlight Relevant Certifications: If you have relevant certifications like CDMP or Google Cloud Professional Data Engineer, make sure to include them prominently in your application. This will help validate your expertise in the field.
How to prepare for a job interview at Usedtrucksforsaleusa
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Snowflake, AI, and Machine Learning in detail. Highlight specific projects where you utilized these technologies and the impact they had on data strategy and roadmaps.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your ability to optimize data infrastructure and migrate from legacy systems. Prepare examples of challenges you've faced in previous roles and how you successfully addressed them.
✨Understand Data Governance and Security Standards
Since expertise in data governance and privacy regulations is crucial, be ready to discuss how you ensure compliance and security in your data strategies. Familiarize yourself with relevant regulations to speak confidently.
✨Prepare for Behavioral Questions
In addition to technical skills, be ready for behavioral questions that explore your teamwork and communication abilities. Think of examples that demonstrate your collaboration in IT consultancy or telecoms projects.
