Sr. Staff Software Engineer - Unity Catalog Data Governance
Leads technical direction and development of Unity Catalog's governance features for secure data and AI asset management at scale. Requires 15+ years in large-scale distributed systems, deep CS expertise, and strong leadership.
Key Responsibilities
- Technical Leadership: Lead design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate best practices.
- Product Ownership: Take full ownership of Unity Catalog Governance product, from concept to scalable solutions with business impact.
- Cross-Functional Influence: Collaborate with product and infrastructure teams to align strategy and ensure integration.
- Operational Excellence: Champion high-quality, reliable software and processes for seamless customer experience.
Requirements
- 15+ years of industry experience building and operating large-scale distributed systems.
- Proven track record driving customer satisfaction and incremental delivery.
- Deep computer science expertise (algorithms, data structures).
- Strong leadership, communication, and collaboration skills.
- BS in Computer Science or related fields (MS/PhD preferred).
Preferred: Experience in data governance, security, privacy, identity management, authentication, or access control.
Staff Data Platform Engineer
Staff Data Platform Engineer building and leading AWS-native data platform architecture, orchestration, governance, and AI-readiness for analytics and ML workloads. Requires 8-10+ years experience with AWS data systems and strong technical leadership.
Manager, Data Engineering
Lead and mentor a team of data engineers building scalable data pipelines and platform infrastructure. Hands-on coding, operational excellence, and cross-functional collaboration with analytics, data science, and business teams.
Senior Data Engineer, People Analytics
Build and maintain data pipelines, tables, and AI-ready data foundations from HR systems to power People Analytics reporting, dashboards, and LLM tools. Requires 5+ years of data engineering experience with strong SQL, Python, Airflow, and data governance skills.