Python Full-Stack Tech Lead - Data Platform & Cloud

Contribute using our standard tech stack, which is Python, Linux (via WSL), Postgre

SQL, SQL Server, Databricks, and spans both Azure and AWS cloud infrastructure.

Participate in the design and implementation of advanced mechanisms for data ingestion and transformation, and mass parallel orchestration of network IO.

Maintaining Infrastructure as Code and working with infrastructure teams to develop valuable new features for CLIENTs Engineering Platform.

Model data for a variety of purposes (operational and analytical) in collaboration with your team, other teams, and analytical data customers.

Contribute to CLIENTs data platform in a way that promotes the development of a data mesh architecture for the entire enterprise.

Work on indicators of data quality across our estate and improve the quality of our data along key metrics.

Evaluate the quality (completeness and accuracy) of potential new data sources for specific applications.

Contribute to quality automation in our CI/CD process, optimizing for bug free release cadence and developer delight.

Contribution to test automation through either enhancement to the platform or additional tests

Maintain good quality documentation (starting with your code) for technical and non-technical audiences.

Participate in a pairing first development team, learning skills from your colleagues and giving back to the community by imparting hard won wisdom and skills learned from past experiences.

Mentoring and coaching of less experienced team members through design and code reviews.

Participate in a safe and honest workplace culture by participating in open conversations about technical design, implementation and interrogating decisions when appropriate.

Assessment of application security to ensure it complies with CLIENT Application Security Standards.

Evaluation of APIs to ensure that they comply with the relevant CLIENT API Standards.