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- Tasks: Lead large-scale data migration and design automated data pipelines using Google Cloud services.
- Company: Join a forward-thinking tech company transforming data solutions for enterprise customers.
- Benefits: Enjoy a long-term contract with competitive pay and opportunities for professional growth.
- Why this job: Be at the forefront of cloud technology, driving impactful change in data architecture.
- Qualifications: 12+ years in data architecture, 8+ years as a Data Engineer, and expertise in GCP required.
- Other info: Google Professional Data Engineer certification is mandatory; work with cutting-edge technologies.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK
Duration: Long-term contract
Senior Cloud Data Architect. The ideal candidate will have extensive experience leading large-scale data migration programs and designing automated, production-grade data pipelines across various industries. This strategic role involves deep architectural engagement with enterprise customers, driving transformation through Google Cloud's advanced data services such as Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field.
- 12+ years of experience in data architecture and data engineering with proven skills and leadership in large-scale cloud data programs.
- 8+ years of hands-on experience as a Data Engineer, with at least 3+ years specifically working with Google Cloud Platform (GCP) data services.
- Strong proficiency in SQL and experience with schema design and query optimization for large datasets.
- Expertise in BigQuery, including advanced SQL, partitioning, clustering, and performance tuning.
- Hands-on experience with at least one of the following GCP data processing services: Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow).
- Proficiency in at least one scripting/programming language (e.g., Python, Java, Scala) for data manipulation and pipeline development.
- Understanding of data warehousing and data lake concepts and best practices.
- Experience with version control systems (e.g., Git).
- 5+ years of advanced expertise in Google Cloud data services: Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable.
- Hands-on experience with orchestration tools like Apache Airflow or Cloud Composer.
- Deep understanding of data lakehouse design, event-driven architecture, and hybrid cloud data strategies.
- Track record of success advising C-level executives and aligning technical solutions with business goals.
- Google Professional Data Engineer certification (Mandatory).
- Google Professional Cloud Architect certification or equivalent.
Sr Cloud Data Architect (GCP) employer: ST Global Tech LLC
Contact Detail:
ST Global Tech LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Cloud Data Architect (GCP)
✨Tip Number 1
Network with professionals in the cloud data architecture field, especially those who have experience with Google Cloud Platform. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your hands-on experience with GCP data services by contributing to open-source projects or creating your own projects. This not only demonstrates your skills but also gives you practical examples to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL skills and understanding advanced concepts related to BigQuery, such as partitioning and clustering. Practising real-world scenarios can help you articulate your thought process effectively.
✨Tip Number 4
Familiarise yourself with the latest trends in data architecture and cloud technologies. Being knowledgeable about emerging tools and methodologies can set you apart from other candidates and show your commitment to continuous learning.
We think you need these skills to ace Sr Cloud Data Architect (GCP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data architecture and engineering, especially with Google Cloud Platform (GCP). Emphasise your leadership roles in large-scale cloud data programmes and any relevant certifications.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for the Sr Cloud Data Architect role. Mention specific projects where you've successfully designed automated data pipelines or led data migration efforts, and how these experiences align with the company's needs.
Showcase Technical Skills: Clearly list your technical skills related to GCP data services, SQL proficiency, and programming languages like Python or Scala. Provide examples of how you've used these skills in past projects to solve complex data challenges.
Highlight Leadership Experience: Since this role involves advising C-level executives, make sure to highlight any experience you have in strategic decision-making or aligning technical solutions with business goals. Use specific examples to demonstrate your impact in previous roles.
How to prepare for a job interview at ST Global Tech LLC
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with GCP data services like BigQuery, Dataflow, and Dataproc. Highlight specific projects where you designed data pipelines or led migration programs, as this will demonstrate your capability in handling large-scale cloud data solutions.
✨Demonstrate Leadership Skills
Since this role involves engaging with enterprise customers and advising C-level executives, be ready to share examples of how you've successfully led teams or projects. Discuss your approach to aligning technical solutions with business goals, showcasing your strategic thinking.
✨Prepare for Technical Questions
Expect in-depth technical questions related to SQL, schema design, and query optimisation. Brush up on your knowledge of data lakehouse design and event-driven architecture, as these are crucial for the role. Practising common interview questions can help you articulate your expertise confidently.
✨Highlight Your Certifications
Make sure to mention your Google Professional Data Engineer certification and any other relevant qualifications. This not only validates your skills but also shows your commitment to staying updated in the field of cloud data architecture.
