Full-Time

IT Solutions Tech Lead

Staff Fullstack SWE

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
AI & Machine Learning

Compensation Overview

$144.6k - $255.9kAnnually

+ Annual Performance Bonus + Equity

Senior

Mountain View, CA, USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
NetSuite
Microsoft Azure
Python
React.js
Java
Salesforce
AWS
Go
Django
Google Cloud Platform
Requirements
  • 8 years of related experience with both front-end stack such as ReactJS, Django and backend stack such as Java, Go, Python and a Bachelor’s degree; or equivalent work experience.
  • Experience developing scalable, secure and resilient applications
  • Experience building integrated solutions with SaaS platforms such as Salesforce, Workday, NetSuite or a comparable CRM, HRIS, ERP etc.
  • Experience with cloud technologies, e.g. AWS, Azure, GCP
  • Experience with security and systems that handle sensitive data
Responsibilities
  • As a full stack software engineer (50% FE / 50% BE), you will work with our software engineering team within IT Application Engineering team to build amazing tools/applications for internal company use as well as customers.
  • You will work on a broad set of interesting products/projects designed to increase the productivity and effectiveness of our 8,000+ Bricksters.
  • You will architect complex solutions sharing your knowledge of emerging & top tech trends, experimenting with and learning new technologies in order to mentor and uplevel other team members.
  • You will build full stack applications on cloud native distributed systems.
  • You will integrate your solutions with SaaS providers such as Salesforce, Workday, Netsuite etc.
  • You will collaborate with Product Managers, UX, Enterprise Security, Data and Enterprise Applications Integration teams to create secure and scalable cloud-based solutions.
  • You will review, assess and evangelize best in class enterprise frameworks and tools.

Databricks provides a platform that combines data lakes and data warehouses into a single architecture known as lakehouse. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a variety of users, including data engineers, data scientists, and business analysts, across industries like finance, healthcare, and technology. The platform features automated ETL processes, secure data sharing, and high-performance analytics, and it also supports machine learning and AI workloads for building and deploying models. Databricks operates on a subscription-based model, generating revenue through client subscriptions and professional services. The company's goal is to streamline data management and analytics, making it easier for organizations to leverage their data effectively.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

26%

2 year growth

78%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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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