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Databricks

Solutions Architect Curriculum Developer - Data Engineering

at Databricks



CSQ225R57

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As a Sr. Technical Curriculum Developer at Databricks, you will apply your expertise in data engineering and curriculum development to lead the design, development, and maintenance of the data engineering curriculum.

In this role, you will own the full lifecycle of learning content development, from the development of learning objectives and content design to content development, launch, evaluation, and maintenance. The courses you develop will focus on the Databricks Data Intelligence Platform and include topics like data processing, data modeling, data management, production, and security.

 

As a member of Databricks Curriculum Development Team, you'll work closely with global stakeholders, product managers and engineers, technical subject-matter experts, instructors, and other technical curriculum developers to deliver high-impact learning content for self-paced, instructor-led, and blended learning offerings.

 

The impact you will have:

  • Lead the design, development, and maintenance of multi-modal training content for Databricks customers and partners using the latest versions of Delta Lake, Python, SQL and Spark
  • Work with subject-matter-experts and learning architects to scope needs for new courses and updates to existing ones
  • Guide solid instructional design/curriculum development principles for multi-modal, hands-on courses
  • Support instructors with adopting new materials and updates via the creation of instructor guides and train the trainers
  • Function as a company-wide thought leader and subject-matter-expert on curriculum development principles and best practices, along with educating Bricksters on said principles and best practices
  • Provide answers and support to the Support Team for issues related to our courses

 

What we look for:

  • Experience with topics related to big data engineering such as data streaming, pipeline optimization, deployment, and data security
  • Experience with Python software development lifecycle (Git, testing, modularization, etc.)
  • Strong proficiency in Python and 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 based on instructional design best practices

 

Benefits

  • 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)

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
$91,700$162,200 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 TwitterLinkedIn 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.

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