Google Cloud Platform Data Engineer
Job Description
As a Principal GCP Data Engineer, you'll be a true subject matter expert in using the data processing and management capabilities of Google Cloud to develop data-driven solutions for our clients.
You will typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work.
Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern best practices. As part of your responsibilities, you will be expected to:
- Develop robust data processing jobs using tools such as Google Cloud Dataflow, Dataproc and BigQuery
- Design and deliver automated data pipelines that use orchestration tools such as Cloud Composer
- Design end-to-end solutions and contribute to architecture discussions beyond data processing
- Own the development process for your team, building strong principles and putting robust methods and patterns in place across architecture, scope, code quality and deployments.
- Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation.
- Actively define and evolve PA’s data engineering standards and practices, ensuring we maintain a shared, modern and robust approach.
- Lead and influence technical discussions with client stakeholders to achieve the collective buy-in required to be successful
- Coach and mentor team members, regardless of seniority, and work with them to build their expertise and understanding.