Sr. Learning Platform Specialist
Databricks · United States · Education & Training · listed July 9, 2026
The shape of it
Seniority
Senior
Experience asked
5–7 years
Where
Not stated
Stated pay
$139,000 – $191,050 USD
Requirements listed
10
Length
1,064 words
In the posting’s own words
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.
What it asks for · 10
- 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.
- 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.
- 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.
- 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 with modern frontend frameworks such as React and application frameworks such as Flask or FastAPI.
Also a plus
- 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.
What the job covers
- 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.
Tools and skills named
Data
- Databricks5×
- Data pipelines2×
- Data warehouse
Security & compliance
- Security3×
- IAM
Ways of working
- Cross-functional2×
- Mentorship
- Testing
Frameworks
- FastAPI
- Flask
- React
Languages
- SQL2×
- Python
Cloud & infra
- Distributed systems
- Observability
Models & research
- Inference2×
Product & design
- Product strategy
Words the posting leans on
- experience14×
- platforms12×
- data11×
- products11×
- learning10×
- technical10×
- systems9×
- architecture5×
- engineering5×
- business4×
- content4×
- partners4×
- production4×
- senior4×
- skills4×
- access3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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