Sr. Learning Platform Specialist

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.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.