Job ID 208246
A leading Health Research Body are seeking a Data Architect/Senior Data Developer to join their team and assist with their ongoing data strategy. The organisation are involved in multiple large scale research projects at present which involve large amounts of unstructured data which they need to process and they are looking to approach this with a clearer strategy.
The role is based in London but they are happy for you to work largely remotely during the role.
Principal duties and responsibilities
Lead on data architecture for the REMAP-CAP Global Data Coordination Centre, aligned with The Data Management Body of Knowledge (DAMA-DMBOK2) principles.
Architect database structures to efficiently store and retrieve data for the REMAP-CAP Global Data Coordination Centre.
Ensure the architecture design includes data merges, cleansing, monitoring, organisation of received data and is appropriate to data retention needs.
Design, implement and maintain standardised algorithms to generate derived variables.
Use data interrogation and analytical skills to investigate potential data integrity errors and propose updates and safeguards to existing and new datasets/data providers.
Implement a coherent data solution with data specifications, including automated validation against pre-specified rules.
Instruct third-party infrastructure support service providers to develop, maintain, monitor, and review REMAP-CAP Global Data Coordination Centre database backup policies and procedures.Requirements
Engineering or equivalent qualifications. Certification on SQL, Data Modelling and Data Architecture & design ex. TOGAF or equivalent
Data Modelling concepts, Data Architecture principles, SQL best practices (Advanced), Database administration best practices, ETL concepts, Data Validation, Data Dictionaries, Data Quality
Extensive experience working with back-end data technologies and projects like Enterprise data warehouses, application databases, database administration
Advanced level experience with SQL/T-SQL Advanced level experience with Data modelling, architecture principles and design. Intermediate level experience with data validation. Basic knowledge of Database administration