Summary from listing
The role is responsible for developing, capturing, and sharing solution architecture patterns and best-practice knowledge, collaborating with business stakeholders on data models and self-service models, maintaining global data standards, and supporting data pipelines, ETL, data modeling, SQL, real-time processing, ingestion, storage, orchestration, access control, and data management. It requires 10+ years of overall experience and 3+ years developing and deploying data solutions with AWS/Azure Data Bricks in PySpark, along with AWS ecosystem and S3 experience, Python and data-library expertise, and strong SQL and data-management capabilities.
