The GTM Sr. Analytics Engineer will leverage the Data Intelligence Platform to deliver analytics utilizing our GTM data Reporting to the Snr Manager, GTM Analyt
This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes
Lead the development and implementation of data-driven solutions using AI and machine learning. Collaborate with cross-functional teams to identify business pro
CSQ326R37 Mission The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks We deliver professional s
CSQ326R35 Mission The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions We deliver professional services engagements to help our customers build, scale, and optimize ML pipeline
Design and develop scalable data pipelines using various tools and technologies. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain large-scale data warehouses and data lakes. Implement machine learning models and algorithms to drive
About the Role As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks Finance and Accounting organisation. This is part of the Finance org. You will report to the Senior Manager,
CSQ326R35 Mission The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large La
CSQ326R35 Mission The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large La
Job Summary We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Langua
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6 jobsFrequently asked questions about Databricks
What does Databricks do?
Databricks is a leading company in the IT Services & Consulting sector. It provides innovative solutions to clients across multiple industries globally.
Where is Databricks headquartered?
Databricks is headquartered in San Francisco,California. The company operates across multiple locations in India and internationally.
How many employees does Databricks have?
Databricks employs 1001-5000 professionals worldwide. The company continues to grow and regularly hires across various functions and geographies.
When was Databricks founded?
Databricks was founded in 2013. Over the years it has grown into a globally recognised organisation in the IT Services & Consulting space.
Who is the CEO of Databricks?
The CEO of Databricks is . The leadership team is committed to driving innovation and employee growth.
Is Databricks a good place to work?
Databricks is widely regarded as a strong employer in the IT Services & Consulting sector. The company offers structured career paths, learning programmes, and a collaborative work environment.
What is the hiring process at Databricks?
The hiring process at Databricks typically includes an online application, aptitude or technical assessments, and multiple interview rounds. The process varies by role and experience level.
Does Databricks hire freshers?
Yes, Databricks actively recruits freshers through campus placement programmes and graduate hiring drives. Entry-level roles are available across technology, business, and operations functions.
What are the career growth opportunities at Databricks?
Databricks invests in employee development through structured learning platforms, mentorship programmes, and internal mobility. Employees can advance across technical, managerial, and leadership tracks.
What benefits does Databricks offer to employees?
Databricks offers a comprehensive benefits package that typically includes health insurance, paid leave, retirement benefits, and learning allowances. Specific benefits may vary by location and role level.