Technical

• Help to design and develop a data estate that is performant, accessible, secure, scalable, maintainable, and extensible.
• Help to implement true CI/CD using Github Actions, etc.
• Design and develop EDW using Snowflake, DBT.
• Design and develop AWS Data Lake using S3, Athena, Snowflake
• Design and develop data ingestion pipelines using SnowPipe, FiveTran, etc.
• Model EDW entities and ensure all data is complete, accurate, timely, and documented within Data Dictionary and Ubiquitous Terms documents.
• Work towards the implementation of a true Self-Service BI platform.
• Implement good practices to ensure that Git is used in all circumstances, This includes reviewing others’ work and having your work reviewed and approved by colleagues.

Governance & Data Protection

• Ensure that all work follows best security practices and fully adheres to GDPR, PECR, and other data regulations.
• Ensure that all work follows the correct approval and sign-off process before it is pushed into Production.
• Ensure that all work is documented and if needed – has a runbook in order to allow the business to continually support it.
• Where required, ensure that a PIA (Privacy Impact Assessment) is completed.
• Work with others in the team to keep the Data Dictionary and Ubiquitous Language complete and up to date.

Process

• Follow existing processes and work to improve/identify gaps in these processes.
• Ensure the correct SDLC promotion processes are followed.
• Follow the correct sign-off processes to ensure that only approved releases are deployed into Production.
• Ensure that all AWS development follows CI/CD processes and is repeatable.
• Ensure that the AWS “Well-Architected Framework” is adhered to. See https://aws.amazon.com/architecture/well-architected/?wa-lens-whitepapers.sort-by=item.additionalFields.sortDate&wa-lens-whitepapers.sort-order=desc

Team/People

• Evangelise about the Data Team and estate across the business.
• Build relationships with members of the Data Team and the wider Engineering Team.
• Work closely and collaboratively with all members of the Data Team and wider Engineering Team.
• Work closely with and learn from tech and team leads and challenge proposed solutions with your own ideas.