Senior Learning Platform Architect: AI & Data

Databricks; United States; A distancia; USD 118.000 - 191.000; Jornada completa

Descripción de la vacante

Databricks, a leading data and AI company in the United States, seeks a Sr. Learning Platform Specialist to own the architecture and strategy for learning platforms, guiding engineering execution and cross-functional collaboration to deliver scalable, data-driven learning experiences.

You will lead the design of AI-powered capabilities, build secure data systems, and partner with leaders to drive measurable outcomes across content, skills, assessments, and workflows.

Formación

• 5-7 years of experience designing, building, and operating production software or data platforms.
• Experience owning architecture and technical direction for complex, multi-system products.
• Full-stack or platform engineering background with backend services, APIs, data pipelines, cloud infra, and modern web applications.
• Experience designing 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.

Responsabilidades

• 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.

Conocimientos

Architecture direction

Platform engineering

Python

SQL

Cloud platforms

Communication

Herramientas

Databricks SDK

Unity Catalog

Delta Lake

Descripción del empleo

Databricks, a leading data and AI company in the United States, seeks a Sr. Learning Platform Specialist to own the architecture and strategy for learning platforms, guiding engineering execution and cross-functional collaboration to deliver scalable, data-driven learning experiences.

You will lead the design of AI-powered capabilities, build secure data systems, and partner with leaders to drive measurable outcomes across content, skills, assessments, and workflows.