Work with stakeholders and development team to determine project scope and vision, gather and prioritize collected requirements.
Designing and Implementing Data Architectures: Develop comprehensive data architectures that support the organization’s business goals, using Azure Synapse Analytics, Azure SQL, and other Azure data services.
Managing Dedicated SQL Pools: Efficiently manage and optimize Dedicated SQL Pools in Synapse to handle large-scale data warehousing and analytics workloads.
Database Design and Management: Design, implement, and manage databases using Azure SQL and Azure Managed Instance, ensuring high performance, availability, and security.
Data Integration and ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes using Synapse Pipelines, ensuring efficient data flow from various sources to the data warehouse.
Data Governance and Cataloging: Implement data governance practices and manage the data catalog to ensure data quality, consistency, and accessibility.
Building and Maintaining Data Models: Create and maintain data models that accurately represent the data landscape, ensuring they are scalable and optimized for performance.
Ensuring Data Security and Compliance: Implement and oversee data security measures, ensuring compliance with legal and regulatory standards.
Maintain procedures manuals and system documentation.
Research software solutions to support recommendations, analyzing current and future technology trends.