Implement a physical master meta data store; the data model and the public interface (API Suite) for managing both the data quality and data functionality and data robustness.
Craft a reusable template driven set of controlling procedures and functions
Implement a high performance database in terms of partitioning, shared dimensions and advanced table structures.
Implement a database that any application can use as a meta data store; for logging, meta-data management and shared reference data; essentially application agnostic realised by a meta data driven approach to design.
Implement the capability that will enable system management features like aging, schema separations, index management and fault tolerant
Work closely with the production DBAs in creating a DB cookbook for rolling out the development environment to a production environment
Reporting to the Data Strategy Architect to ensure a solution that enables strategic data growth of the programme.
Be part of Data strategy to create a Relational DB and help integrate with the bespoke application development team.
Use your past performance successes crafting enterprise grade relational databases
Be part of cutting edge data strategy in a maturing business discipline
Deliver a state of the art utilities data store for high performing traders to operate seamlessly in a new market environment.
Meet tight deadlines in a high performance environment.
Under a tight timeline, deliver the launch of the new digital Trading data store suite of data intelligence by Q4 of this year
Come up to speed quick while implementing an architectural logical blueprint.
Implement the solution in parallel to other combined work streams, overcoming this challenges this presents
Be part of a team using software to keep the environment green by reducing carbon costs
Design a reusable framework that leads to lower TCO
Implement arch blueprint based, setup the DB along with the Apps data team, help the bespoke team with the data. Some performance tuning.