Full-Time

Solutions Engineer

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

Entry, Junior

London, UK

Office based in London, UK.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
Java
AWS
Scala
Databricks
Google Cloud Platform

You match the following Databricks's candidate preferences

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

Degree
Experience
Requirements
  • Proficiency in a core programming language (i.e. Python, Java, Scala)
  • Foundational level understanding of AWS, Azure, or GCP
  • Ability to identify and communicate the business value of technical solutions
  • Excitement for technical discovery, ability to gather requirements through effective questioning, research solutions, and present proofs-of-concept to an audience
Responsibilities
  • Learn from a Senior Solutions Architect and work with a team to sell Databricks solutions
  • Promote our platform to the technical community through workshops, events, and partnerships with the Databricks team
  • Gain hands-on experience by working on technical projects, understanding customer needs, and delivering solutions that solve their problems
  • Develop technical skills to work on data projects from ingestion to insight creation and prediction
  • Grow into an independent Senior Solutions Engineer by developing technical and pre-sales skills
Desired Qualifications
  • Databricks Certification

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 offers solutions that simplify data ingestion, management, and analysis, operating on a subscription-based model where clients pay for access to its features. Key functionalities include automated ETL processes, secure data sharing, and high-performance analytics, along with support for machine learning and AI workloads, enabling users to build and deploy models at scale.

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