Architecture & Design: Defining end-to-end architecture for data platforms, including data services, pipelines, orchestration, and security.
Cloud/Hybrid Expertise: Enabling data science and software workflows across different compute clusters, on-premises, and multi-cloud, as seen in architecture.
Technology Integration: Selecting and tuning open-source components for maximum performance, such as in
Governance & Standards: Leading Architecture Review Boards (ARBs) and establishing best practices for security and observability.
Collaboration: Partnering with product, engineering, and client teams to translate business requirements into technical blueprints.

Senior Data Engineer