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.

**Accountabilities**
- Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
- Execution of data cleansing and transformation tasks to prepare data for analysis.
- Designing and building data pipelines to automate data movement and processing.
- Documentation of data quality findings and recommendations for improvement.

**Assistant Vice President Expectations**
- To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
- Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
- If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
- OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
- Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
- Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
- Communicate complex information. 'Complex' information could include sensitive information or information that is difficult t