Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring data quality and performance.
- Company: Join Smartedge Solutions, a leading IT consulting firm focused on innovative tech solutions.
- Benefits: Enjoy flexible working options and the chance to work with cutting-edge technologies.
- Why this job: Be part of a dynamic team that values collaboration and innovation in data engineering.
- Qualifications: Bachelor's degree in a related field with experience in Snowflake, AWS, SQL, and Python required.
- Other info: This is a contract role with opportunities for growth in a thriving tech environment.
The predicted salary is between 43200 - 72000 £ per year.
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Smartedge Solutions.
IT Resourcing Consultant (UK & EU Recruitment) – Strategic & Leadership Hiring at Smartedge Solutions, London, UK
Smartedge’s client is looking for an individual to help with their Snowflake Architect @ UK/EU.
Experience Required:
- Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS.
- Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets.
- Collaborate with data analysts, scientists, and other stakeholders to define and fulfill data requirements.
- Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability.
- Data Architecture, Data Migration, Data Modeling, DBT Knowledge, ETL Design, Snowflake Development, Communication and Collaboration, StreamSet, Python.
- Develop and maintain data integration solutions, ensuring seamless data flow between sources and Snowflake.
- Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity.
- Stay up to date with trends and best practices in data engineering and cloud technologies such as AWS.
Qualifications include a Bachelor’s degree in computer science, engineering, or a related field, with experience in data engineering focusing on Snowflake and AWS, proficiency in SQL, Python, and ETL tools (Streamsets, DBT), hands-on experience with Oracle RDBMS, data migration to Snowflake, and familiarity with AWS services like S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts, data modeling, and orchestration solutions such as Airflow is required. Excellent problem-solving and communication skills are essential.
If interested or if you know someone suited for this role, connect with me or email at vineetha.s@smartedgesolutions.co.uk. Alternatively, call me at +44(0)203 500 2108.
Seniority level:
- Mid-Senior level
Employment type:
- Contract
Job function:
- Information Technology
Industries:
- IT Services and IT Consulting
Referrals can double your chances of interviewing at Smartedge Solutions.
Set job alerts for “Architect” roles.
This job is active in Greater London, England, UK, posted 9 hours ago, and in Manchester Area, UK, posted 1 week ago.
#J-18808-Ljbffr
Snowflake Architect employer: Smartedge Solutions
Contact Detail:
Smartedge Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Architect
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Snowflake and AWS. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your hands-on experience with Snowflake and related technologies by working on personal projects or contributing to open-source projects. This practical experience can set you apart from other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your previous projects and how you tackled challenges.
✨Tip Number 4
Follow Smartedge Solutions on LinkedIn and engage with their posts. This can help you stay informed about their hiring needs and demonstrate your interest in the company when you apply.
We think you need these skills to ace Snowflake Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Snowflake and AWS. Use specific examples of projects where you've designed and maintained data pipelines or implemented data warehousing solutions.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills in SQL, Python, and ETL tools align with the job requirements. Be sure to include any experience you have with data migration and cloud technologies.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities, especially in troubleshooting data pipeline issues. Highlight any instances where you ensured data quality and integrity.
Highlight Collaboration Experience: Since the role involves working with data analysts and scientists, mention any past experiences where you collaborated with cross-functional teams. This will show your ability to communicate effectively and fulfil data requirements.
How to prepare for a job interview at Smartedge Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, AWS, and ETL processes in detail. Highlight specific projects where you've designed and maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Collaboration Experience
Since the role involves working closely with data analysts and scientists, share examples of how you've successfully collaborated with cross-functional teams. Emphasise your communication skills and how you ensure everyone's data requirements are met.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering and cloud technologies, particularly those related to Snowflake and AWS. Being knowledgeable about current best practices will show your passion for the field and your commitment to continuous learning.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially regarding data pipeline issues. Prepare to discuss specific instances where you identified problems, implemented solutions, and ensured data quality and integrity.
