Sr. Staff Learning Architect

While candidates in the listed location(s) are encouraged for this role, candidates in other AMER locations will be considered [West, Central & East].

As a Sr. Staff Learning Architect at Databricks, you will apply your experience and expertise in technical enablement to architect Databricks learning offerings, including the ownership of the curriculum and certification roadmap, the design and scoping of learning pathways, the incorporation of key stakeholder needs and feedback, and the establishment of a new training revenue model.

You’ll work closely with global internal, partner, customer, university stakeholders, marketing and curriculum, and certification content development teams to deliver an industry-leading Data + AI learning program to the entire Data + AI industry.

Outcomes

• Manage, prioritize, and communicate the training roadmap to meet stakeholder learning needs
• Determine the scope of and design learning pathways by performing regular job-task analysis workshops for new/core learning pathways to meet stakeholder needs
• Determine and communicate high-level requirements for curriculum and certification materials to Curriculum Development and Certification Development teams
• Establish best practices for the scoping of new product introduction training material
• Assist in the design and implementation of new training content revenue and usage models
• Consolidate and centrally use Databricks curriculum and certification feedback to improve all processes and decision making
• Support learning audiences by enabling support teams to answer Databricks enablement questions

Role-transition Milestones:

• Within the first month:
• Establish agreed-upon processes and best practices for working with training content development teams (Curriculum Development and Certification Development) for content scoping, creation and content feedback intake
• Establish and work within Product Marketing release schedules and levels for training-related materials
• Establish formal update cadence for core learning pathways with input from content development managers and Product Marketing
• Create and communicate a training request process to intake training material requests from anywhere within Databricks
• Evaluate current inventory of training content to determine what needs to be removed
• Within the first three months:
• Establish agreed upon processes and best practices for working with key stakeholders, including Product and audience-specific Enablement organizations
• Establish objective prioritization standards for training material requests and regular update cadence of core content
• Within the first six months: 
• Manage, own, and communicate the training (curriculum, certification, and labs/infrastructure) roadmap
• Design and develop a new revenue model for curriculum and training content usage

Skills/Experience

• Strong understanding of Databricks enablement audiences (internal, customers, partners, university)
• Strong understanding of the Databricks Lakehouse Platform and its services and capabilities
• Strong analytical skills and data-driven decision making
• Strong program management, stakeholder management and interpersonal skills
• Experience designing and organizing a technical enablement program
• Experience facilitating and consolidating stakeholder to prioritize technical learning needs

 

Benefits  - AMER

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity awards

• Flexible time off

• Paid parental leave

• Family Planning

• Gym reimbursement

• Annual personal development fund

• Employee Assistance Program (EAP)

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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