
Data Architect
2 days ago
- Data Architecture: Design efficient data storage and retrieval systems to meet business needs.
- ETL Processes: Develop ETL processes to accurately move data into the data warehouse, ensuring seamless integration of diverse data sources.
- Infrastructure Planning: Plan and implement technical infrastructure, including hardware, software, and network components.
- Data Governance: Implement policies to maintain data quality, security, and compliance with regulatory standards.
- Performance Optimisation: Continuously monitor and improve data warehouse performance to handle large volumes of data and complex queries.
The ideal candidate will have expertise in architecting enterprise-grade software systems that are performant, scalable, resilient, and manageable. Experience with generative AI-based systems is an added advantage.
We utilise advanced analytics and machine learning techniques to identify patterns in genomic data, optimise clinical trials, and personalise medication.
Qualifications:
- Proven experience in data architecture and data warehousing.
- Strong knowledge of data modelling, ETL processes, and infrastructure design.
- Experience with data governance and regulatory compliance.
- Proficiency in using data management products.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
Preferred Skills:
- Familiarity with advanced analytics and machine learning techniques.
- Experience in managing semantic and common data layers.
- Knowledge of FDA guidelines and other relevant regulatory standards.
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