Full-Time

Solutions Architect

Communication, Media & Entertainment

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

$139.9k - $247.3kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

Washington, USA + 2 more

More locations: Oregon, USA | California, USA

Candidates in Colorado and Texas are strongly preferred, but other U.S. locations will be considered.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Data Science
R
SQL
Java
Scala
Databricks
Requirements
  • Experience working with large (> $1m ARR) customers, ideally from the Communications or Media & Entertainment industry
  • Interested in being hands-on and learning big data, data science, and cloud technologies
  • An ability to understand data-driven business transformation and drive change with data
  • Experience with design and implementation experience in big data technologies or full lifecycle data science solutions
  • Maintain and extend production data systems to evolve with complex customer needs
  • Programming exposure in SQL, Python, R, Scala, or Java
  • Nice to have: Databricks Certification
Responsibilities
  • You will work with 2-6 customers as the main technical voice for Databricks
  • You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their digital strategy
  • You will drive the technical strategy within an account
  • Help customers become technical champions within their organization
  • Provide structured mentorship and collaboration for other team members

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

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion.
  • The company plans to expand into Saudi Arabia, aligning with Vision 2030.
  • Partnerships with cloud providers enhance Databricks' scalability and performance.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • The acquisition of Tabular may pose integration challenges and disrupt operations.
  • Rapid expansion into new markets may expose Databricks to geopolitical 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.
  • Databricks integrates with major cloud services for seamless data management and analysis.

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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