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- Tasks: Design and integrate cloud applications while leading technical design efforts.
- Company: Soothsayer Analytics is a forward-thinking IT services company focused on innovative solutions.
- Benefits: Enjoy a full-time role with opportunities for remote work and professional growth.
- Other info: Ideal for tech-savvy individuals looking to make an impact in a growing field.
- Why this job: Join a dynamic team shaping the future of cloud architecture and big data solutions.
- Qualifications: 8+ years of experience in cloud architecture, with expertise in AWS or Azure required.
The predicted salary is between 48000 - 84000 £ per year.
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- Solution Architect will help Soosthsayer with the architecture of new and existing applications using Cloud architecture patterns and processes
- Works with Soosthsayer team to define, assemble and integrate components based on client\’s standards and business requirements (examples: hardware, software, availability, scalability, and reliability)
- Supports the soothsayer team in the development of the technical design and documentation
- Participate in proof of concepts and support the product solution evaluation processes
- Provides architecture guidance and technical design leadership
Working Hours : Full Time
Locations : Off Shore
Experience : 8+ Years
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Responsibilities
About the Role:
- Solution Architect will help Soosthsayer with the architecture of new and existing applications using Cloud architecture patterns and processes
- Works with Soosthsayer team to define, assemble and integrate components based on client\’s standards and business requirements (examples: hardware, software, availability, scalability, and reliability)
- Supports the soothsayer team in the development of the technical design and documentation
- Participate in proof of concepts and support the product solution evaluation processes
- Provides architecture guidance and technical design leadership
Skills Required
- Experience with AWS, Azure or GCP (Azure is must, GCP is not required)
- Experience with Hadoop, HDFS, Spark(PySpark), SQL and NoSQL database
- Experience with implementing Big Data Architecture
- Understands infrastructure architecture, including servers, networking, firewalls, database, and middleware
- Experience with designing high-availability, high-volume, low-latency technologies
Experience Required
- Overall 8+ Years work Experience
- 2+ Years of Experience working as Cloud Architect
- Expertise in AWS/Azure/GCP, Hadoop, HDSF, Spark (PySpark) , and SQL
Education Required
- MS/BS in CSE or IT
Education Preferred
- AWS/Azure/GCP/Other Cloud Technologies Certification
- Big Data Certification
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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Cloud/Big Data Architect employer: Soothsayer Analytics
Contact Detail:
Soothsayer Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud/Big Data Architect
✨Tip Number 1
Familiarise yourself with the specific cloud technologies mentioned in the job description, especially Azure. Make sure you can discuss your experience with these platforms confidently during any interviews.
✨Tip Number 2
Prepare to showcase your understanding of Big Data architecture. Be ready to discuss past projects where you've implemented solutions using Hadoop, Spark, or similar technologies, as this will demonstrate your hands-on experience.
✨Tip Number 3
Network with current or former employees of Soothsayer Analytics on platforms like LinkedIn. Engaging with them can provide insights into the company culture and may even lead to a referral, which can significantly boost your chances.
✨Tip Number 4
Stay updated on the latest trends in cloud computing and Big Data. Being able to discuss recent developments or innovations in these fields during your interview can set you apart from other candidates.
We think you need these skills to ace Cloud/Big Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Cloud architecture, Big Data technologies, and any specific tools mentioned in the job description, such as AWS, Azure, Hadoop, and Spark. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your understanding of Soothsayer Analytics' needs. Mention how your experience aligns with their requirements and express your enthusiasm for the role.
Showcase Relevant Projects: Include specific examples of projects where you have successfully implemented Cloud architecture or Big Data solutions. Highlight your role, the technologies used, and the impact of your work on the project outcomes.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a technical role like this.
How to prepare for a job interview at Soothsayer Analytics
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with AWS, Azure, and GCP during the interview. Be prepared to discuss specific projects where you implemented cloud architecture patterns and how they benefited the organisation.
✨Demonstrate Big Data Knowledge
Since the role requires knowledge of Hadoop, Spark, and both SQL and NoSQL databases, be ready to explain your experience with these technologies. Discuss any challenges you faced and how you overcame them in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to infrastructure architecture, including servers, networking, and middleware. Brush up on these topics and be ready to provide detailed answers or examples from your past work.
✨Emphasise Team Collaboration
The role involves working closely with teams to define and integrate components. Share examples of how you've successfully collaborated with cross-functional teams in the past, focusing on communication and problem-solving skills.