Lead Data Architect
Lead Data Architect
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Job Description
This role contributes to the construction of the development data fabric and data strategy. This role will interact with architects engineers data modelers product owners as well as other team members in Clinical Solutions and R&D. This role will actively participate in creating technical solutions designs implementations & participate in the relentless improvement of R&D Tech systems in alignment with agile and DevOps principles.
The Data Engineer demonstrates both depth and breadth across key data engineering competencies e.g. Software Development Testing DevOps Data Science/Analytics and cloud. Can collaborate with experts from other subject domains. Primary responsibilities include using Azure cloud services and GSK data platform tools to ingest egress and transform data from multiple sources.
In addition the role will demonstrate core engineering knowledge/experience of industry technologies practices and frameworks such as data fabric and scaling data platforms containerization cloud-based platforms data analytics machine learning and data streaming. Examples of technologies include Java/C#/Python Denodo GIT Azure Devops Data Bricks Presto Spark Azure Data Factory ADLS V2 Kafka Selenium JUnit/NUnit SAFe Kanban Docker AI/ML Azure/GCP Cloud Architecture including networking principles and scaling applications.
The Data Engineer Clinical Solutions role is a senior technical role and will provide you the opportunity to lead key activities to progress your career. These responsibilities include the following:
Remote Work :
No
Employment Type
Full Time
