• Consult, design, coordinate architecture to modernise infrastructure for performance, scalability, latency, reliability
• Possess in-depth knowledge of and able to consult on various technologies such as database, data warehousing and big data e.g. BigQuery, MSSQL, GCP Dataproc, GKE etc.
• Design data storage, movement and orchestration solutions (Cloud Composer – Airflow)
• Identify, scope and participate in the design and delivery of cloud data platform solutions
• Design and execute a platform modernisation approach for customers’ data environments
• Design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios and provide deployment guidance
• Document and share technical best practices/insights with engineering colleagues and the architect community
• Design Data Architectural solutions for structured data technologies and understand unstructured data technologies
• Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery and other data technologies

• Some Cloud experience; GCP or AWS preferred
• Strong experience as a Data Architect
• Knowledge of modern SQL including advanced queries such as triggers, stored procedures, views, joins and subqueries
• Hands-on experience with RDBMS such as SQL Server, Oracle or MySQL
• The ability to create and interpret solution designs using UML / ERD diagrams
• Experience in optimising performance and monitoring of hybrid on-premise and cloud data warehouse solutions
• Experience in working with agile software engineering teams
• Experience with Python or Scala

• Other Google Cloud Platform (GCP) services (DataPrep, Cloud Data Fusion, Pub/Sub)
• ETL pattern for data ingestion (e.g. SSIS, Informatica)

We offer: