FEQ326R457
Sr. Staff Technical Enablement Specialist - Technical SupportAs Sr. Staff Technical Enablement Specialist, you will leverage your expertise in data & AI with your passion for training and enablement to support the strategy and design of Databricks internal enablement 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 at Databricks easy for everyone.
Your portfolio will include enablement offerings and programs for technical support engineers. Technical support engineers are responsible for managing support cases, resolving technical issues, and working with Engineering, Product, and Account teams to ensure customer success. They require deep technical knowledge and a strong understanding of the Databricks platform.
This role will require coordinating with internal stakeholders to create a foundation for technical support engineer onboarding, performance, and technical excellence programs, and taking new offerings from ideation to implementation.
The impact you will have:
- Engage with product owners, engineering teams, subject matter experts (SMEs), and customer-facing technical staff to establish training requirements and define learning objectives for new courses and learning pathways.
- Launch new offerings in collaboration with curriculum developers and learning architects.
- Work with a team of global stakeholders to set curriculum strategy and prioritize and align training investments with business objectives.
- Design platforms, systems, and processes to use in training development and training programs.
- 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 technical support engineering or customer success roles and responsibilities, or experience building technical enablement programs for the technical support function.
- 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 the expected 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 anticipates utilizing 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.
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
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
