Data Architect will be responsible for leading the implementation of data platform. He should be well versed with clinical trial sector. Candidate should have strong Knowledge on cloud platforms like Azure, AWS, Database storage, Query processing & cloud services, data integration. Should have strong understanding of ETL, BI, ML , Data Security tools and Data Modelling tools.
Key Skills
- Design data lake to support analytical reporting requirements
- Design and implement integration between data sources
- Conduct code reviews and guide engineering leads to implement high quality code
- Understand customer and user requirements.
- Lead DSM and planning meetings and help identify potential roadblocks
- Should have built and managed enterprise-level cloud-based data integration platforms.
- Should have strong experience in data modeling.
- Strong experience in implementing data warehousing methodologies on Azure data platform
- Strong expertise in SQL (PLSQL, TSQL) and Azure data factor, Qlik compose, SSIS (ETL) development and execution for large-scale enterprise data sources
- Good to have knowledge of programming/scripting languages (Python, Java)
- Knowledge of methodologies, standards, and tools in clinical trial sector