
Enterprise Data Modeler-Risk
- London
- Permanent
- Full-time
- Overseeing and governing the expansion of existing data architecture and the optimization of data query performance via best practices.
- Defining logical and physical data models based on business and IT data requirements through new data strategies and designs across all data platforms and data tools (reporting, visualization, analytics, and machine learning).
- Working with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
- Defining and governing data modeling and design standards where needed or utilize existing standards and guidelines for best practices, and related development for enterprise data models.
- Assist in identifying the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Direct modeling, including design, configuration, installation, and performance tuning.
- Working proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
- Prior experience in direct data modeling or analytical experience using RDBMS, dimensional, and data ingestion protocols.
- Bachelor’s or master’s degree in computer or data program or related experience.
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
- Good knowledge of modern metadata management, data modelling, and related tools required.
- Experience in team collaboration, communication, and presentation.
- Experience with Azure (ADF, ADLS, Synapse), Snowflake and Databricks a plus
- Experience with data governance tools a plus