Sr. Learning Platform Specialist

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify data, analytics, and AI. Founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow, Databricks is building the foundation for organizations to put data and AI to work.

As a Senior member of the Learning Platforms team, you will shape the technical direction of the systems that help employees, partners, and customers build the skills they need to succeed with data and AI. You will operate as a broad platform owner, moving fluidly from product strategy and architecture to hands-on engineering, cross-functional alignment, and reliable operations. This is a high-impact individual contributor role.

• 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.
• Partner with business leaders to define product direction, prioritize roadmaps, clarify trade-offs, and deliver measurable outcomes.
• Mentor engineers, raise the technical bar, contribute to hiring, and create reusable patterns.

• 5-7 years of experience designing, building, and operating production software or data platforms, with a track record of leading work across organizational boundaries.
• 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.

• Experience with Databricks products and technologies such as Databricks Apps, Lakehouse data architectures, Unity Catalog, Delta Lake, Lakebase, Workflows, SQL Warehouses, or the Databricks SDK.
• Experience with modern frontend frameworks such as React and application frameworks such as Flask or FastAPI.
• Experience mentoring senior engineers or leading technical programs across several teams.

Pay ranges by zone: Zone 1 $139,000—$191,050 USD; Zone 2 $125,000—$171,950 USD; Zone 3 $118,100—$162,350 USD; Zone 4 $111,200—$152,900 USD. Total compensation may also include eligibility for annual performance bonus, equity, and benefits.