Full-Time

Staff Technical Instructor

Posted on 8/15/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$123.4k - $218.3kAnnually

+ Bonus + Equity

Senior, Expert

California, USA

Candidates in California are encouraged, but remote candidates from other locations are also considered.

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 platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data effectively for better decision-making and insights.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10B, boosting its valuation to $62B for global expansion.
  • The company reports a $3B revenue run rate, indicating strong financial performance.
  • Databricks' expansion into Saudi Arabia aligns with Vision 2030, enhancing Middle East presence.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Integration challenges with acquisitions like Tabular may disrupt operations.
  • Expansion into new markets may expose Databricks to geopolitical and regulatory risks.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows efficiently.
  • Databricks integrates seamlessly with various cloud services for enhanced data management.

Help us improve and share your feedback! Did you find this helpful?

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

INACTIVE