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You’ll help design, implement and maintain conceptual, logical and physical data models that drive business value, regulatory compliance and operational efficiency across a wide range of platforms.
Job Responsibility:
Analysis and documentation of business requirements to translate them into data models aligned with organisational goals
Development and maintenance of data dictionaries and glossaries to define data elements and their usage
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator
Strategic architecture definition and product selection
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components
Implementation of architectures and Identification, ownership and resolution of design related issues
Definition and documentation of data architectures standards, principles and strategies
Requirements:
Solid experience in data modelling or data architecture, ideally within financial services or large corporates
Proficiency with data modelling tools (e.g., Erwin, ER/Studio, PowerDesigner)
Excellent knowledge of conceptual, logical, and physical modelling techniques
Experience with database systems (relational: Oracle, SQL Server, PostgreSQL, MySQL
columnar: Redshift, Snowflake
NoSQL: MongoDB, Cassandra)
Advanced SQL skills (DDL, DML, performance tuning) and scripting experience (PL/SQL, T-SQL, Python or Shell)
Knowledge of data warehousing concepts (Inmon/Kimball) and ETL tools (e.g., Informatica)
Cloud platform experience, ideally AWS (S3, Redshift, Glue) and Data Lake implementation
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