Data Architecture & Modeling
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- Design, implement, and maintain robust data models within a Medallion architecture (bronze, silver, gold layers) using Azure Databricks.
- Ensure that data models align with business objectives, regulatory compliance, and performance requirements.
- Develop and maintain documentation for data architecture, design standards, and data lineage.
- Collaboration & Requirements Gathering
- Collaborate closely with business stakeholders, subject matter experts, and technical teams to gather, document, and prioritize data requirements.
- Act as a liaison between business and technical teams to ensure alignment of data solutions with business objectives.
- Hands-On Development
- Work directly with datasets to validate, transform, and model data in compliance with GxP standards.
- Provide hands-on support for data preparation, cleaning, and transformation processes in the Databricks environment.
- Governance & Quality
- Establish and enforce data quality and integrity standards, especially for GxP-critical datasets.
- Support compliance efforts by ensuring data architecture adheres to regulatory and quality requirements.
- Optimization & Innovation
- Continuously identify opportunities to improve the performance, scalability, and reliability of data systems.
- Research and recommend tools, technologies, and methodologies to enhance data architecture and modeling practices.