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- Tasks: Design and build innovative cloud data platforms using Snowflake and Azure.
- Company: Join UST, a leader in IT services and consulting.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Be at the forefront of data solutions that drive analytics and machine learning.
- Qualifications: 7+ years in data architecture with expertise in Snowflake and Azure required.
- Other info: Microsoft or Snowflake certifications are a plus!
The predicted salary is between 52000 - 84000 ÂŁ per year.
Data Architect with Snowflake & Azure (Data Architect I)
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Data Architect with Snowflake & Azure (Data Architect I)
Join to apply for the Data Architect with Snowflake & Azure (Data Architect I) role at UST
Data Architect with Snowflake & Azure
London (Hybrid)
Type: Permanent
We’re looking for a talented Data Architect to design and build cutting-edge cloud data platforms using Snowflake and Azure services like Azure Data Factory (ADF), Synapse Analytics, and Azure Analysis Services (AAS). You’ll create scalable, secure, high-performance data solutions that power advanced analytics, machine learning, and real-time insights.
Role Description
Data Architect with Snowflake & Azure
London (Hybrid)
Type: Permanent
We’re looking for a talented Data Architect to design and build cutting-edge cloud data platforms using Snowflake and Azure services like Azure Data Factory (ADF), Synapse Analytics, and Azure Analysis Services (AAS). You’ll create scalable, secure, high-performance data solutions that power advanced analytics, machine learning, and real-time insights.
The Role
- Design end-to-end cloud data architectures that deliver performance, scalability, and security.
- Build and optimize data pipelines with ADF, Python, and Snowflake.
- Model data for BI and reporting tools like Power BI and AAS.
- Partner with data scientists to integrate AI/ML models into production data flows.
- Lead on best practices for data governance, security, and compliance (GDPR, CCPA).
- Collaborate with stakeholders to turn business needs into powerful data solutions.
- Monitor, troubleshoot, and continuously optimize system performance.
What You’ll Bring
- Minimum of 7+ years\’ experience in data architecture and engineering.
- Deep expertise with Snowflake, Azure Synapse Analytics, and Azure Data Factory.
- Strong SQL and Python skills for building and managing data flows.
- Solid understanding of data security, governance, and cloud compliance.
- Bachelor\’s or master’s degree in computer science, Data Science, or related field.
Nice To Have
- Microsoft or Snowflake certifications!
Hurry and apply!
#UST
Skills
Snowflake,Azure,python
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
IT Services and IT Consulting
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Data Architect with Snowflake & Azure (Data Architect I) employer: UST
Contact Detail:
UST Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect with Snowflake & Azure (Data Architect I)
✨Tip Number 1
Familiarise yourself with the latest features and updates in Snowflake and Azure. Being able to discuss recent advancements or how you've implemented them in past projects can set you apart during interviews.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who work with Snowflake and Azure. Attend relevant meetups or webinars to make connections and learn about potential job openings.
✨Tip Number 3
Prepare to showcase your problem-solving skills by working on real-world data challenges. Consider contributing to open-source projects or creating a portfolio that highlights your expertise in building data pipelines and architectures.
✨Tip Number 4
Stay updated on data governance and compliance regulations like GDPR and CCPA. Being knowledgeable about these topics will demonstrate your commitment to best practices in data security during discussions with potential employers.
We think you need these skills to ace Data Architect with Snowflake & Azure (Data Architect I)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Azure Synapse Analytics, and Azure Data Factory. Use specific examples of projects where you've designed cloud data architectures or built data pipelines.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data architecture and how your skills align with the role. Mention any relevant certifications and your understanding of data governance and compliance.
Showcase Technical Skills: Clearly list your technical skills, especially in SQL and Python, as well as your experience with BI tools like Power BI. Provide examples of how you've used these skills to solve complex data problems.
Highlight Collaboration Experience: Since the role involves partnering with data scientists and stakeholders, include examples of past collaborations. Describe how you turned business needs into effective data solutions and any leadership roles you've taken in projects.
How to prepare for a job interview at UST
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Snowflake, Azure Synapse Analytics, and Azure Data Factory during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Prepare to share examples of how you've tackled complex data architecture challenges. Discuss your approach to optimising data pipelines and ensuring data security and compliance.
✨Understand Business Needs
Familiarise yourself with the company's business model and how data solutions can drive value. Be ready to explain how you would collaborate with stakeholders to turn their needs into effective data strategies.
✨Stay Updated on Best Practices
Research current best practices in data governance and cloud compliance. Being knowledgeable about GDPR and CCPA will show that you are serious about data security and responsible data management.
