Sr. Learning Platform Specialist

CSQ227R13

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 the hands-on engineering, cross-functional alignment, and reliable operations.

You will lead the design and delivery of intelligent, data-driven learning experiences that connect content, skills, assessments, and business outcomes. This is a high-impact individual contributor role for an individual who can turn ambiguous business problems into secure, scalable products! 

• 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.
• Partner with business leaders to define product direction, prioritize roadmaps, clarify trade-offs, and deliver measurable outcomes.
• Navigate complex requirements involving security, privacy, compliance, governance, and responsible use of AI.
• Lead cross-functional technical programs involving multiple engineering teams and senior stakeholders, creating clarity and momentum in ambiguous environments.
• Mentor engineers, raise the technical bar, contribute to hiring, and create reusable patterns that help the broader organization move faster.
• Serve as a technical thought leader internally and externally through architecture documents, technical presentations, reusable guidance, and community engagement.

• 5-7 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.
• A track record of delivering results with minimal oversight while bringing structure to ambiguous problems.
• A collaborative leadership style that combines technical depth, product thinking, pragmatism, and a bias for action.

• 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 integrating learning, content, assessment, identity, HR, or customer-facing platforms.
• Experience building systems that serve both internal users and external customers or partners.
• Experience scaling automation and operational workflows across large user populations or high-volume data sources.
• 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.
• Evidence of technical thought leadership through conference talks, publications, open-source work, or industry communities.

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. Our work spans learner experience, intelligent recommendations, platform integrations, operational automation, cost efficiency, and reliable delivery at scale.