Platform Leadership:
• Lead the design and evolution of the enterprise data platform architecture supporting analytics, reporting, and machine learning initiatives.
• Establish and enforce data engineering standards, best practices, and development frameworks to ensure scalable and maintainable data solutions.
• Oversee the cloud data environment built on Snowflake and Microsoft Azure and drive continuous improvement.
Data Engineering Delivery:
• Lead the development and operation of ELT/ETL pipelines that ingest and transform data from multiple enterprise systems.
• Manage and mentor a team of data engineers, ensuring timely delivery of high-quality data solutions.
• Ensure the reliability, performance, and data quality of pipelines supporting enterprise analytics workloads
Collaboration and Governance:
• Contribute to the execution of the enterprise data and analytics strategy.
• Collaborate with enterprise architecture, IT, and data governance teams to align with security, governance, and compliance standards.
• Partner with data science, analytics, and business teams to enable advanced analytics and data-driven decision making.