Databricks

Databricks

Data Analytics & Business Intelligence
5001-10000 employees

Overview

Databricks is a data and AI company founded by the creators of Apache Spark. It provides a unified platform for data engineering, data science, machine learning, and analytics. The Databricks Lakehouse Platform combines the best elements of data warehouses and data lakes to offer an open and unified foundation for all data workloads. It allows organizations to store, process, and analyze large volumes of data in a scalable and efficient manner. Databricks' key offerings include collaborative notebooks, automated machine learning, and real-time data streaming capabilities.

About Us

- Databricks, founded in 2013 by Apache Spark creators, provides a unified analytics platform simplifying data engineering, science, and machine learning. - Its cloud-based platform unifies data, analytics, and AI workflows, accelerating data-driven initiatives and addressing big data processing complexities. - Databricks offers a managed service handling infrastructure, scaling, and security, allowing data teams to focus on insights. - The company's success is driven by its diverse customer base, robust partner ecosystem, and commitment to open-source technology (Apache Spark). - Databricks provides a complete end-to-end solution for maximizing data value, streamlining the entire data lifecycle.

Vision

Databricks envisions a world where data and AI empower every organization to solve its toughest problems and create a better future.

Mission

Databricks' mission is to accelerate innovation for data teams by unifying data science, engineering, and business.

Culture

- Databricks cultivates a collaborative, innovative culture prioritizing teamwork, open communication, and excellence. - They attract and retain top talent through employee growth opportunities, competitive compensation, and work-life balance initiatives. - The company is committed to diversity and inclusion, fostering a welcoming environment for all. - Databricks encourages open-source contributions, demonstrating its commitment to the wider community.

Headquarters

Bangalore / Bengaluru

Specialties & Industries

Data EngineeringData ScienceMachine LearningApache SparkLakehouseBig DataCloud ComputingData AnalyticsArtificial IntelligenceMLOpsDelta LakeMLflowSQL AnalyticsReal-time Data StreamingArtificial Intelligence & Machine Learning (AI/ML)Cloud ComputingSoftware as a Service (SaaS)B2BProduct Based CompanyUnicorn

Open Positions

5 - 7 Years
Pan India
AI Forward Deployed Engineer at Databricks: Build GenAI solutions, lead production rollouts, and advise customers. Requires 5+ years data science experience, GenAI expertise (RAG, LangChain), and cloud deployment skills (AWS, Azure, GCP). Shape product roadmap & present at conferences
1 Oct, 2025
10 - 12 Years
Pan India
Sr. Big Data Engineer: Use Databricks platform to solve big data challenges for clients. Requires 10+ years' experience with Apache Spark, Kafka, and cloud technologies. Python or Scala proficiency needed. Impactful customer projects & strong benefits
1 Oct, 2025
databricks Careers | TymblHub