UK remote
Data Architect, UK
About this role
Why you: As a Data Architect you work within a team of globally dispersed architects and consultants, to design and create impactful software powering enterprise data platform solutions mainly focused on Cloud Platforms. You will produce outcomes for real customer projects and help create software artifacts enabling automation of data platform implementations and data migrations. If this is you, and you wonder what it would be like to work at Pythian, reach out to us and find out! Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn and follow @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open around the world! Pythian Careers What you will be doing: Design and development of end-to-end Cloud-based solutions with a heavy focus on application and data, and a good understanding of infrastructure.
Working on complex and varied cloud-based projects including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets etc. Translating complex functional and technical requirements into detailed designs. Writing high-performance, reliable and maintainable code. Develop test automation and associated tooling needed for the project. Work with project leads to understand testing requirements and lead creating/execution of test automation.
Develop test scenarios and test cases based on requirements. Analyze potential issues, perform root cause analysis and assign issues to be resolved. Follow up with Engineering team members to see fixes through completion. Review bug descriptions, functional requirements and design documents, incorporating this information into test plans and test cases. Performing data processing requirements analysis. Performance tuning for batch and real-time data processing.
Securing components of clients’ Cloud Data platforms. Diagnostics and troubleshooting of operational issues. Health-checks and configuration reviews. Data pipelines development – ingestion, transformation, cleansing. Data flow integration with external systems. Integration with data access tools and products. Foundational CI/CD for all infrastructure components, data pipelines, and custom data apps. Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps.