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FEQ326R124
Location: This is a fully remote position
As a Staff Learning Architect, you will leverage your expertise in data & AI with your passion for training and enablement to support the strategy and design of Databricks learning offerings, including understanding learner personas and training needs, owning the design and scoping of technical curriculum, using feedback loops and data to inform and prioritize training investments, and helping make learning Databricks easy for everyone.
Your portfolio will include training offerings for SAP Databricks. SAP Databricks is a new native integration of the Databricks Data Intelligence Platform within SAP Business Data Cloud (BDC). SAP Databricks enables businesses to perform advanced analytics and develop AI applications on SAP data.
This role will require coordinating with internal and external stakeholders to create a foundation for the SAP Databricks learning experience and taking new offerings from ideation to implementation.
The impact you will have:
- Engage with product owners, subject matter experts (SMEs), customer-facing technical staff, and learner audiences to establish training requirements and define learning objectives for new courses and learning pathways.
- Launch new offerings in collaboration with curriculum developers and other learning architects.
- Work with a team of global stakeholders to prioritize and align training investments with business objectives.
- Use data to develop insights about content health, quality, and consumption to help drive planning and prioritization and identify opportunities for improvement.
What we look for:
- Strong knowledge of data & AI platforms, cloud data platforms, and cloud data warehouses, especially Databricks, its product offerings and capabilities, and Lakehouse.
- Experience with curriculum design & development, enablement, or training delivery.
- Experience designing and organizing role-based learning pathways or technical enablement programs.
- Familiarity with SAP products such as ERP, S/4HANA, BW/4HANA, or Datasphere.
- Familiarity with data analysis, machine learning, and AI use cases.
- Ability to read and understand Python and SQL code.
- Eagerness to apply analytical skills and data-driven decision making to inform strategy and execution.
- Program management, stakeholder management and interpersonal skills.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.
Zone 1 Pay Range
$153,800—$235,900 USD
Zone 2 Pay Range
$138,400—$212,300 USD
Zone 3 Pay Range
$130,800—$200,500 USD
Zone 4 Pay Range
$123,000—$188,700 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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