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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 in London, driving innovation in cloud data architecture.
- Benefits: Enjoy a long-term contract with competitive pay and opportunities for professional growth.
- Why this job: Be at the forefront of cloud technology, transforming businesses with cutting-edge data solutions.
- 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 closely with enterprise customers.
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 advanced SQL techniques and GCP services like BigQuery and Dataflow. Practising real-world scenarios can help you articulate your problem-solving approach effectively.
✨Tip Number 4
Familiarise yourself with the latest trends in data architecture and cloud technologies. Being knowledgeable about current advancements will help you engage in meaningful conversations with interviewers and demonstrate your passion for the field.
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 led data migration or designed automated data pipelines, 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 any programming languages you are proficient in. Provide examples of how you've used these skills in past roles to solve complex data challenges.
Highlight Leadership Experience: Since this is a senior role, it's crucial to highlight your experience advising C-level executives and aligning technical solutions with business goals. Use specific examples to demonstrate your strategic impact in previous positions.
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 efforts, as this will demonstrate your capability to handle the responsibilities of the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. For instance, you might be asked how you would optimise a slow-running query in BigQuery or how to design a data pipeline for a specific use case. Practising these scenarios can help you articulate your thought process effectively.
✨Emphasise Leadership and Communication Skills
Since this role involves advising C-level executives, it's crucial to showcase your leadership experience. Prepare examples of how you've successfully communicated complex technical concepts to non-technical stakeholders and how you've led teams through challenging projects.
✨Demonstrate Your Understanding of Data Architecture
Be ready to discuss data lakehouse design, event-driven architecture, and hybrid cloud strategies. Showing a deep understanding of these concepts will set you apart, especially if you can relate them to the company's goals and challenges.
