Senior Learning Platform Architect (AI/Data)

Socket.dev; United States; On-site; USD 125,000 - 191,000; Full time

Job summary

Databricks seeks a Senior member of the Learning Platforms team to shape the technical direction of learning systems from strategy to production. You will own architectures, lead AI-powered capabilities, and build scalable data-driven learning experiences across content, skills, assessments, and outcomes.

You will collaborate with business leaders, mentor engineers, and drive cross-functional programs while ensuring security, governance, and responsible AI practices.

Qualifications

• 5-7 years designing, building, and operating production software or data platforms.
• Experience owning architecture and technical direction for complex multi-system products.
• Strong backend, APIs, data pipelines, cloud infra, and modern web apps.
• Experience with AI- or data-intensive systems such as inference pipelines or analytics.
• Fluency in Python and strong SQL with relational/analytical data systems.

Responsibilities

• Own architecture and technical strategy for a portfolio of learning platforms.
• Lead design and implementation of AI-powered capabilities (recommendations, search, analytics).
• Build secure data systems integrating learning, workforce, customer, and ops data.
• Develop Databricks-native apps, data pipelines, APIs, and user experiences.
• Establish engineering practices for reliability, observability, and release management.
• Define integration strategies across LMS, lab environments, content platforms, identity systems.

Skills

Architecture ownership

Full-stack engineering

Python

Cloud platforms

Data pipelines

AI systems

Stakeholder comms

Education

Bachelor's degree in CS or related

Tools

Databricks Apps

Unity Catalog

React

Flask or FastAPI

Job description

Databricks seeks a Senior member of the Learning Platforms team to shape the technical direction of learning systems from strategy to production. You will own architectures, lead AI-powered capabilities, and build scalable data-driven learning experiences across content, skills, assessments, and outcomes.

You will collaborate with business leaders, mentor engineers, and drive cross-functional programs while ensuring security, governance, and responsible AI practices.