Full-Time

Sr. Technical Writer

Posted on 11/22/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$91.5k - $161.5kAnnually

+ Annual Performance Bonus + Equity

Mid, Senior

Seattle, WA, USA

Requires in-person work in Seattle or Bay Area offices 3 times per week.

Category
Technical Writing
Content & Writing
Required Skills
Git
SQL
Information Architecture
Data Analysis

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 3+ years of documenting sophisticated technologies for developers and software engineers, or similar work experience.
  • Ability to work in person in either our Bay Area or Seattle area offices 3x per week
  • Enthusiastic about the investigative side of technical writing: skilled at tracking down elusive details and transforming them into clear, useful information for the customer.
  • Strong collaboration and communication skills.
  • Expertise in technical writing tools and style: maintaining a consistent voice, a clear and engaging tone, and a solid grasp of grammar and usage rules.
  • Experience working with data products, cloud computing, and SQL.
  • Demonstrated understanding of information architecture concepts and how to apply them to a constantly changing website.
  • Proven project management skills.
  • Proficiency in Markdown-style formats with Git and GitHub.
  • Experience using data and customer feedback to drive decision-making.
Responsibilities
  • Collaborate closely with engineers and product managers to develop effective, customer-focused documentation.
  • Collaborate closely with customer-facing technical staff (support engineers, solutions architects, developer relations) on best practices, onboarding material, and other scenario-based guidance.
  • Help drive an information-architecture approach to organizing content based on customer use cases.
  • Use data to develop insights that drive planning, prioritization, and improvements.

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 $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

INACTIVE