Lead client engagements and team lead on client-facing delivery projects
Consult, design, coordinate architecture to modernise infrastructure for performance, scalability, latency, and reliability
Identify, scope, and participate in the design and delivery of cloud data platform solutions
Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery, and other data technologies
Design and execute a platform modernization approach for customers' data environments
Document and share technical best practices/insights with engineering colleagues and the Data Engineering community
Mentor and develop engineers within the Qodea Data Team and within our customers' engineering teams
Act as the point of escalation with client-facing problems that need solving
Requirements
Strong experience as a Senior / Principal Cloud Data Engineer, with a solid track record of migrating large volumes of of data through the use of cloud data services and modern tooling
Experience working on projects within large enterprise organisations either as an internal resource or as a 3rd party consultant
Experience in performing a technical leadership role on projects and contributing to technical decision making during in-flight projects.
A track record of being involved in a wide range of projects with various tools and technologies, and solving a broad range of problems using your technical skills.
Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers
Significant experience of coding in Python and Scala or Java
Experience with big data processing tools such as Hadoop or Spark
Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc.
Experience with Terraform
Prior experience in a customer-facing consultancy role would be highly desirable
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