Data Modeler

Join us as a Data Modeler at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. In this role you should be able to Translate business requirements into logical and physical data models which serve as the basis for data engineers to build the data products. This includes working with Data Product Manager of the Value stream use case / BUK Data Domain to capture the requirements, translating these into data models while considering performance implications. Role will include testing the data models with data engineers and continuously monitoring and optimizing the performance of these data models.
To be successful as a Data Modeler, you should have experience with:

• Design and implementation of high-quality data models that optimize data access, storage, and analysis. Experience in ER Studio.
• Creation of comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines and further be able to obtain sign-off from the DPL, DPA and the Technical Product Lead on the logical and physical data models.
• Partnering with business stakeholders to understand their data needs and their desired functionality for the data product and translate these requirements into clear data modelling specifications.
• Collaboration with data engineers to translate into physical data models and throughout the development lifecycle and continuously monitor and optimize the performance of the models to ensure efficient data retrieval and processing.
  

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.This role is based in Pune.

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.