Your Role:
As a Data Designer (including functional skills as a modeller, Data mapper) your role is to translate business requirements into architecture/technical specifications, define the data model and data flows.
Responsibilities:
* Key contributor in overseeing the end-to-end view of how data flows through one or more databases and its logical design, including storage and utilisation requirements.
* Collaborate with application development and UI/UX teams to understand data requirements and translate them into intuitive, user-friendly data models.
* Design, develop, and maintain logical and physical data models for the mortgage portal and other .NET-based applications.
* Ensure data models support the extraction and transformation of data from the enterprise data warehouse and are optimized for frontend performance.
* Implement data models in the application database (OLTP) and ensure nightly deployments.
* Optimize and tune data models for performance, scalability, and user experience.
* Document data models, data flows, and data dictionaries in a way that supports both technical and non-technical stakeholders.
* Work closely with database administrators and frontend developers to ensure data integrity, security, and usability.
* Participate in semi-agile development processes, including sprint planning, stand-ups, and retrospectives.
* Proven experience as a Data Designer or in a similar role.
* Strong knowledge of data modelling techniques and tools (e.g., ER/Studio, ERwin, PowerDesigner).
* Experience with enterprise data warehouses and OLTP databases.
* Proficiency in SQL and database management systems (e.g., Oracle, SQL Server, MySQL).
* Excellent analytical and problem-solving skills.
* Strong communication and collaboration skills.
* Experience working with .NET technologies, including integration of data models into .NET-based applications.
* Understanding of UI/UX principles and how data architecture impacts user experience in web and application interfaces.
* Relevant 3rd Level qualifications (Degree / Masters / PhD) in a related field (e.g. Data, Computer Science, Data Analytics)
* Experience in a variety of database and Applications/analytical tools, for example: SQL,Python
Seniority level
* Seniority level
Associate
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology
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