Key Responsibilities: Design, implement, and optimize data models for the data warehouse, ensuring alignment with business requirements. Work extensively with **IBM IDA (InfoSphere Data Architect)** to create logical and physical data models. Ensure that the data models are scalable, performant, and aligned with the organization's data strategy. Collaborate with data engineers to implement and maintain data models in **Azure** and **Databricks** environments. Translate business requirements into conceptual, logical, and physical data models, ensuring data quality and consistency across systems. Participate in data architecture and design discussions to ensure data modeling best practices are followed. Develop and maintain documentation of data models, data flow diagrams, and database design specifications. Work with stakeholders to ensure the data models support analytics, reporting, and data integration needs. Perform impact analysis of changes to existing models and collaborate with teams to assess the effects on downstream systems. Continuously improve and optimize data models to enhance performance and data accessibility. Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field. Proven experience as a **Data Modeler** working in data warehouse environments. Strong expertise with **IBM IDA (InfoSphere Data Architect)** or similar data modeling tools. Solid understanding of **Azure** and **Databricks** architecture, and experience working in cloud-based data environments. Proficiency in relational and dimensional data modeling techniques, including star and snowflake schemas. Hands-on experience with SQL and database design, with knowledge of data lakes, data warehouses, and ETL processes. Strong analytical and problem-solving skills, with attention to detail. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Familiarity with data governance, metadata management, and data quality practices. Experience with **Azure Synapse**, **Azure Data Factory**, and **Databricks Delta Lake**. Knowledge of big data technologies and principles of data lakehouse architectures. Experience in agile methodologies and working in a fast-paced, collaborative environment Saxon Global
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