• Transform and build robust solutions for transferring data from first and third-party applications to and from our data warehouse • Envision and design toward industry patterns on data exchange with our enterprise clients through a mix of traditional push delivery, cloud, and event-driven (eg: API, grpc) data sharing methods. • Support implementation and data integration as new partners roll onto the Bestow platform, and recommend improvements on configurability of platform. • Making decisions as a team. The things you build will be maintained and improved upon by others; there is a shared responsibility to make defensible design considerations and high collaboration. • Champion test-first design principles, proactively writing tests before code to maintain high coverage and pipeline reliability. • Develop hardened and repeatable (CI/CD) data models and pipelines to enable reporting, modeling and machine learning. • Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation. • Leverage Google Cloud (GCP) tools (eg: Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (eg: Astronomer - Apache Airflow) to bring data workloads to production. • Drive and support MLOps to improve Data Science monitoring and governance • Enable and support Generative AI (eg: LLM) pipelines, allowing internal teams to quickly prototype. Support the architecture and rollout of GenAI products and features into the marketplace. • Collaborate with product, engineering, stakeholders and data teams to deliver informed solutions to platform and client needs