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Staff Technical Instructor

Remote - Ohio

CSQ125R81

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

The Staff Technical Trainer at Databricks will report directly to the Director of Global Training Delivery. This role is integral to enhancing the technical skills and knowledge of the Databricks community, which includes internal teams, partners, and customers. The Staff Technical Trainer will be responsible for the design, development, and delivery of technical training programs, aligning with the organization's objectives and strategies. As a Staff Technical trainer you will create engaging and effective learning content catering to various learning styles and levels of technical expertise. This role involves facilitating both virtual and in-person training sessions and potentially traveling to different locations to conduct training. The trainer will also play a pivotal role in evaluating the effectiveness of training programs, providing feedback for improvement, and staying abreast with the latest Databricks products and industry trends to ensure the curriculum remains relevant.

Duties & Responsibilities:

  • Design, develop, and deliver comprehensive technical training programs related to Databricks' products and services.
  • Collaborate with various teams and stakeholders to understand training needs and create tailored programs to meet those needs.
  • Evaluate the effectiveness of the training programs through feedback surveys, tests, and observation, and revise the curriculum as needed.
  • Keep up-to-date with Databricks' product developments and industry trends to ensure training material is current and relevant.
  • Provide guidance and support to learners during the training process and handle any queries or issues that arise.
  • Contribute to the development of self-paced online learning modules and other training resources.
  • Participate in strategic initiatives such as the development and execution of the company-wide learning and development strategy.
  • Oversee operational aspects like the day-to-day administration of training programs, including scheduling, coordinating resources, and managing participant enrollment.
  • Develop and deliver a specified number of training programs or modules within a given timeframe.
  • Create training resources, such as manuals, guides, and online tutorials.

Required Skills:

  • Deep understanding of Databricks' products and the ability to explain complex technical concepts in an easily understandable manner.
  • Experience with programming languages such as Python and, SQL, (PySpark, Scala, R, Java are a pre,).
  • Familiarity with Big Data technologies, such as Apache Spark, multi-node clusters, and related tools.
  • Understanding of cloud computing concepts and experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Knowledge of data engineering and data science concepts, including machine learning and artificial intelligence.
  • Excellent communication and presentation skills, with the ability to engage and motivate learners.
  • Strong interpersonal skills and the ability to work effectively with a diverse range of stakeholders.
  • A high degree of organization and attention to detail, with the ability to manage multiple tasks and projects simultaneously.
  • Problem-solving mindset, with the ability to think creatively and find effective solutions to challenges.
  • A passion for learning and development, with a commitment to staying up-to-date with industry trends and developments.
  • Proficiency with Databricks' platform and tools.
  • Experience with Learning Management Systems (LMS) and other training software.
  • Familiarity with office productivity tools, such as Microsoft Office Suite or Google Workspace.
  • Experience with virtual communication tools, such as Zoom, Microsoft Teams, or Google Meet.

Required Education and Experience:

  • Bachelor's Degree in Computer Science or a related field, with a focus on Big Data, Machine Learning, or AI (preferred).
  • Minimum of 5 years of experience in a related role, such as technical training or technical roles in data engineering, data science, or software development.
  • Databricks Associate Data Engineer certification is preferred but not required.
  • Deep knowledge in areas of big data, cloud computing, data engineering, and data science, including machine learning and artificial intelligence, is essential.

Benefits

Benefits Section - USA

  • 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 4 Pay Range
$85,900$152,000 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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