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For Companies At a Glance
- Tasks: Lead enterprise-scale data migration and architect end-to-end data platforms using GCP tools.
- Company: Join a dynamic team in London, driving innovation in cloud data solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of data architecture, impacting industries like telecom and finance.
- Qualifications: 12+ years in data architecture with advanced GCP expertise and strong leadership skills required.
- Other info: Mentorship opportunities and collaboration with C-level executives await you.
The predicted salary is between 72000 - 108000 £ per year.
Role: Cloud Data Architect
Location: London, UK
Duration: Contract
Job Description:
Key Responsibilities
- Provide technical leadership and strategic direction for enterprise-scale data migration and modernization initiatives.
- Architect end-to-end data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable.
- Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation.
- Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services).
- Drive data quality, governance, lineage, and security standards across enterprise data pipelines.
- Mentor engineering teams and lead best practice adoption across data architecture, orchestration, and DevOps tooling.
- Participate in technical workshops, executive briefings, and architecture reviews to evangelize GCP data capabilities.
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.
- 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.
- Hands-on experience with one or more 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. Scala is mandated in some cases.
- Deep understanding of data lakehouse design, event-driven architecture, and hybrid cloud data strategies.
- 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.
- Experience with version control systems (e.g., Git).
- Track record of success advising C-level executives and aligning technical solutions with business goals.
- Google Professional Data Engineer certification.
- Google Professional Cloud Architect certification or equivalent.
Preferred Qualifications
- Experience with modernization of on-premise and mainframe data environments into cloud-native architectures.
- Knowledge of regulatory data requirements across financial, healthcare, and telecom sectors.
- Familiarity with IaC (Terraform), GitOps, and CI/CD for data pipeline deployment.
- Strong communication, stakeholder management, and mentoring skills.
GCP Cloud Architect employer: Infoplus Technologies UK Limited
Contact Detail:
Infoplus Technologies UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Cloud Architect
✨Tip Number 1
Network with professionals in the GCP community. Attend meetups, webinars, or conferences focused on Google Cloud technologies. This can help you connect with potential colleagues and learn about unadvertised opportunities.
✨Tip Number 2
Showcase your hands-on experience with GCP data services by contributing to open-source projects or creating your own projects. This practical demonstration of your skills can set you apart from other candidates.
✨Tip Number 3
Prepare for technical interviews by practising common GCP-related scenarios and case studies. Being able to discuss your approach to real-world problems will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Engage with our team on social media platforms like LinkedIn. Comment on posts related to GCP and data architecture, and share your insights. This can help you get noticed and show your passion for the field.
We think you need these skills to ace GCP Cloud Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud data services, especially Dataproc, Dataflow, and BigQuery. Use specific examples from your past roles that demonstrate your technical leadership and strategic direction in data architecture.
Craft a Compelling Cover Letter: In your cover letter, emphasise your 12+ years of experience in data architecture and how it aligns with the responsibilities of the GCP Cloud Architect role. Mention your certifications and any relevant projects that showcase your expertise in cloud data programs.
Showcase Technical Skills: Clearly outline your hands-on experience with orchestration tools like Apache Airflow and your proficiency in programming languages such as Python or Scala. Highlight any specific projects where you implemented real-time and batch processing pipelines.
Demonstrate Leadership and Mentoring: Provide examples of how you've mentored engineering teams and led best practices in data architecture. This will show your ability to act as a trusted advisor to stakeholders and your commitment to driving data quality and governance.
How to prepare for a job interview at Infoplus Technologies UK Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with GCP data services like Dataproc, Dataflow, and BigQuery. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead enterprise-scale data initiatives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about complex use cases involving streaming analytics or ML feature engineering, and be ready to explain how you would architect solutions using GCP tools.
✨Emphasise Leadership and Mentoring Experience
Since the role involves mentoring engineering teams, share examples of how you've led teams in adopting best practices in data architecture and DevOps tooling. This will show your ability to guide others and drive quality standards.
✨Align Technical Solutions with Business Goals
Be ready to discuss how you've advised C-level executives in the past. Illustrate how you align technical solutions with business objectives, as this is crucial for acting as a trusted advisor across various industries.
