Sr. Learning Platform SpecialistActive$139K

The Learning Platforms team builds the digital ecosystem behind Databricks learning and enablement. We combine software engineering, data, AI, and product thinking to improve how people discover content, develop skills, practice with the platform, and measure progress.

What you'll do

• Own the architecture and technical strategy for a portfolio of learning: platforms and enablement products, from early discovery through production operation and evolution.

• Lead the design and implementation of AI-powered capabilities, including: recommendation systems, skill inference, intelligent search, personalization, and analytics-driven learning workflows.

• Build secure, privacy-aware data systems that integrate information across: learning, workforce, customer, and operational platforms.

• Develop Databricks-native applications, data pipelines, APIs, automations,: and user experiences that make complex learning processes simple and scalable.

• Establish strong engineering practices for reliability, observability,: testing, release management, access control, and lifecycle ownership.

• Make pragmatic decisions and define integration strategies across learning: management systems, lab environments, content platforms, identity systems, and internal data products.

What they're looking for

• years of experience designing, building, and operating production software or: data platforms, with a track record of leading work across organizational boundaries.
• Demonstrated experience owning architecture and technical direction for complex, multi-system products.
• Strong full-stack or platform engineering background, with depth in backend: services, APIs, data pipelines, cloud infrastructure, and modern web applications.
• Experience designing and operating AI: or data-intensive systems, such as recommendation engines, inference pipelines, search, personalization, or analytics products.
• Fluency in Python or a similar production programming language, plus strong: SQL and experience with relational and analytical data systems.
• Experience with cloud platforms, distributed systems, identity and access: management, security controls, and production operations.
• Strong judgment around data privacy, governance, least-privilege access, and responsible AI.
• Ability to communicate clearly with engineers, product managers, security and: legal partners, and senior business leaders.