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As a Sr. Technical Enablement Specialist at Databricks, you will apply your expertise in enablement to lead the development of enablement materials for Databricks Technical Support Engineers, including curation of content, collaboration with SMEs and/or Technical Curriculum Developers. Programs in your portfolio can include onboarding and everboarding motions focused on developing and maintaining technical and soft skills for Technical Support Engineers.
As a member of the Databricks Support Enablement Team, you’ll be responsible for (1) keeping up to date with the latest and greatest that Databricks has to offer when it comes to Support, (2) work with our enablement team to fully understand the business needs and requirements for Support, (3) create high-impact programs for Support, and (4) work with a team of technical enablement specialists to curate and design content needed for programs.
Outcomes
Use your Databricks and Enablement expertise to lead the design, curate, and maintain enablement programs for Databricks Technical Support, partners, and internal staff using the latest versions of Databricks features for data engineering
Work with subject-matter-experts and technical enablement specialists to scope needs for new courses and updates to existing ones
Drive improvements in Support KPIs through successful enablement programs (lagging indicators)
Skills/Experience
Experience with topics related to Databricks (data engineering, machine learning, Apache Spark, etc)
Experience with technical support best practices
Strong proficiency in Python or SQL
Able to learn new technologies quickly
Strong analytical skills and data-driven decision-making
Familiarity with at least one common cloud provider (AWS, Azure, or Google Cloud)
[Preferred] Experience designing and developing highly technical training
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.
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.
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.
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.
Opens the original job posting on databricks.com
Databricks provides a unified cloud platform for data analytics and artificial intelligence, enabling enterprises to manage data pipelines, data warehousing, and machine learning workloads. The company serves data engineers, data scientists, and analysts across various industries who need to build and deploy AI applications at scale.
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