Minneapolis, Minnesota, United States
• Responsible for selecting and enabling cloud platforms, data platforms, tools, and tech stacks by collaborating with leadership, legal, procurement, and vendors to align with organizational goals.
• Established a scalable enterprise data platform for analytics and reporting, defining robust architecture, reusable patterns, and promoting strong engineering principles.
• Designed and implemented frameworks for data ingestion, transformation, and quality assurance, ensuring reliable and efficient data pipelines.
• Developed reference pipelines and reusable patterns leveraging Databricks, AWS, and Airflow orchestration to support diverse organizational use cases.
• Partnered with business and product managers to define and deliver a strategic product roadmap.
• Architected and delivered marketplace data products for enterprise analytics and reporting, enabling impactful insights and accessibility.
• Orchestrated complex data and machine learning pipelines to support a wide range of enterprise metrics, enhancing operational efficiency and decision-making accuracy.
• Provided expert consulting to analytics and data science teams for data and platform optimization.
• Established and enforced data engineering practices, including code reviews, documentation standards, and robust support processes.
• Facilitated a Community of Practice (CoP) for data engineering teams across the enterprise, conducting training sessions and mentoring engineers at various levels to drive innovation and collaboration.