Internship

Legal Intern

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$40Hourly

+ Annual Performance Bonus + Equity

San Francisco, CA, USA

Hybrid position requiring in-office presence 3 times a week.

Category
Legal
Risk & Compliance
Intellectual Property (IP)
Legal & Compliance
Required Skills
Databricks
Data Analysis
Requirements
  • Current law student expected to graduate in 2027 (Current 1L) with a strong record of academic performance
  • Strong legal, analytical, judgment, organizational, advocacy, negotiation and program management skills
  • High-level legal drafting skills commensurate with level of legal education to date
  • Prior background and/or strong interest in technology, data analytics and AI
  • Eagerness to learn about Databricks technology and legal issues relevant to our business
Responsibilities
  • Partner and work closely with Databricks attorneys and legal professionals to support different areas of our business.
  • Research and provide legal analysis on novel legal issues to our Legal department.
  • Advance legal strategy and corporate business objectives through the development of critical work product and/or assets that will inform current and future corporate initiatives.
  • Advise our business partners on how to balance legal risks while enabling Databricks to continue on its exciting path forward.
Desired Qualifications
  • Undergraduate degree in a technical, science background and/or equivalent professional experience preferred

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. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to enhance data management and analytics for its users, making it easier to derive valuable insights from their data.

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 $10 billion, boosting its valuation to $62 billion in 2023.
  • The company plans to expand globally, including into the Middle East's AI sector.
  • Growing demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Rapid AI advancements may outpace Databricks' feature integration capabilities.
  • Regulatory scrutiny over data privacy could challenge Databricks' expansion efforts.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks integrates seamlessly with major cloud services for enhanced data management.

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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