1. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.
2. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Define and manage Service Level Agreements for all data sets in allocated areas of ownership.
4. Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
5. Improve logging
6. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
7. Optimize pipelines, dashboards, frameworks, and systems to facilitate the easier development of data artifacts.
8. Influence product and cross-functional teams to identify data opportunities to drive impact
