Sr Cloud Data Architect 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. • 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 (Mandatory). • Google Professional Cloud Architect certification or equivalent.