Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
P-1554 As a Staff Technical Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions…
Lead Databricks’ global identity and access management systems, defining strategy and architecture for secure, scalable authentication and governance across employees and customers.
Design and implement core database engine components like query optimization, distributed execution, and storage systems for Databricks' data platform, using distributed systems and performance tuning expertise.
P-1448 About the Role Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This…
P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues…
Staff Software Engineer designing and scaling backend systems for Databricks' data and AI platform, working with distributed systems, cloud storage, and Scala/Kubernetes in Bengaluru.
Senior engineer building and optimizing Databricks' Delta Lake backend systems to handle massive-scale data writes with high performance and reliability.
Designs and builds distributed data storage and processing systems for Databricks' big data platform, focusing on Apache Spark, Delta Lake, and cloud storage backends like AWS S3 and Azure Blob Store.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
Designs and implements big data architectures for enterprise customers using Databricks' platform, APIs, and open-source tools like Spark and MLflow, while collaborating with sales and engineering teams.
Solutions Architect at Databricks designs and implements data and AI solutions for customers using the Databricks platform, Apache Spark, and cloud technologies.
Builds and optimizes distributed data storage and processing systems for Databricks' big data and AI platform, working on projects like Apache Spark, Delta Lake, and performance engineering.
Builds and optimizes distributed data storage and processing systems like Apache Spark and Delta Lake to power large-scale analytics and AI workloads on cloud platforms.
A Solutions Architect at Databricks partners with large healthcare/life sciences clients to design and drive adoption of data, AI, and ML solutions, leveraging cloud and big data technologies.
Builds and maintains Microsoft Fabric’s data platform (lakehouses, warehouses, pipelines) to ingest, transform, and model data from ERP/CRM/e-commerce sources, enabling analytics, AI assistants, and reporting via Power BI and Fabric IQ.
Lead a data engineering team building and scaling security data pipelines for RBC Global Security, transforming raw security data into actionable intelligence via PySpark, Databricks, and cloud-native tools.
Senior Data Engineer at RBC Global Security builds and scales data pipelines to transform security data into actionable intelligence, leading a team of engineers while designing cloud-native architectures with PySpark, Databricks, and Terraform.
Builds and maintains scalable data pipelines and warehouses for Marti’s mobility platform, integrating ride-hailing, e-scooter fleets, and IoT systems to enable real-time analytics and decision-making.
Designs and builds scalable data pipelines using Microsoft Fabric and Azure Databricks, focusing on API-driven ingestion, cross-platform data integration, and Power BI analytics with Direct Lake.
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
We couldn't check your fit for this role — add a CV to your profile to see it next time.