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Full-Time

Staff Technical Instructor

Updated on 9/7/2024

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics
Consulting
Hardware
Industrial & Manufacturing
Consumer Software
Enterprise Software
AI & Machine Learning

Compensation Overview

$123.4k - $218.3kAnnually

+ Bonus + Equity

Senior, Expert

California, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Data Science
SQL
AWS
Google Cloud Platform
Requirements
  • Proficiency with Databricks' products, platform, and tools.
  • Excellent delivering training and educating, characterized by high empathy and clarity in speech.
  • Experience with at least one programming language such as Python and SQL.
  • Knowledge of data engineering and data science concepts, including machine learning and artificial intelligence.
  • Understanding of cloud computing concepts and experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Experience establishing communication and engagement with prospects with the ability to engage and motivate learners.
  • Ability to work with a diverse range of stakeholders.
  • A passion for learning and development, with a commitment to staying up-to-date with industry trends and developments.
  • Experience with pre-sales engineering or solutions architecture and/or sales enablement.
  • Bachelor's Degree in Computer Science or a related field, with a focus on 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, solutions architect, pre-sales engineering, or software development.
  • Databricks Data Engineer Associate OR Databricks Machine Learning Associate certification.
Responsibilities
  • Deliver comprehensive technical training programs related to Databricks' products and services.
  • Collaborate with cross functional teams to understand training needs.
  • Create tailored training programs to meet those needs.
  • Evaluate the effectiveness of the training programs through feedback surveys, assessments, and observations, and revise the curriculum as needed.
  • Significant time will be spent learning new training programs and staying current on the latest updates from Databricks and the industry.
  • 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 to expand the Learning and Enablement product portfolio.
  • Audit operational aspects like the day-to-day administration of training programs, including scheduling, coordinating resources, and managing participant enrollment.
  • Active participation in curation of training resources, such as manuals, guides, and online tutorials.
  • Provide mentoring and guidance to candidates Databricks Certified Instructors.
  • Organization and lead train-the-trainer sessions to scale your expertise.

Databricks provides a Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

7%

1 year growth

21%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave