Responsibilities
- Architect and implement scalable data workflows using Azure Databricks from ingestion to consumption
- Modernize outdated codebases to enhance maintainability and adaptability across diverse applications
- Develop reusable, component-based code architectures to support multiple analytical pathways
- Create standardized data frameworks that unify critical performance indicators and attributes
- Construct modular data models that accommodate evolving analytics requirements
- Monitor and enforce data integrity, efficiency, and consistency across processing pipelines
- Partner with analytics and engineering teams to refine data systems and infrastructure
