As a Staff Architect, you’ll apply your expertise in the field of data engineering and/or machine learning along with your passion for enabling others to lead the strategy and design of Databricks product enablement offerings - if you consider training as a product, you are the product manager. The strategy that you define will enable all Databricks; it will incorporate the cutting-edge and industry-disrupting features of the Databricks Data Intelligence Platform.
This is an opportunity for you to develop/maintain your Databricks product skills and work with the latest and greatest features and to be the voice that defines our overarching enablement strategy for our global customers, partners, and internal field. In this role, you will work with the Databricks product and engineering teams, subject-matter experts, and global stakeholders on taking product updates and business needs to define enablement offerings, program, and learning paths that set the direction for the Databricks training and certification business and lead to new content development, certification exams, training offerings, and broader go to market initiatives.
In terms of your day-to-day work, you’ll make a name for yourself at Databricks by being the point of contact for all things related to enablement strategy. You’ll (1) regularly engage in SME and product meetings (2) work with our learning audience teams to fully understand business requirements (3) define learning offering strategy across the Databricks personas and product portfolio and (4) work with a team of global stakeholders, product managers, engineers, subject-matter-experts, and other curriculum developers to meet overarching business needs.
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Comprehensive health coverage including medical, dental, and vision
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401(k) Plan
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Equity awards
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Flexible time off
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Paid parental leave
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Family Planning
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Gym reimbursement
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Annual personal development fund
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Employee Assistance Program (EAP)
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.
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.