[Hiring] Business Intelligence Manager @Databricks

Role Description

As a Databricks Apps Developer, you will be a critical builder of secure, interactive data and AI applications hosted natively on the Databricks platform. You will design, build, and maintain scalable data web applications, AI chatbots, and custom operational interfaces using frameworks like Streamlit, React, and FastAPI. By leveraging Databricks Apps' serverless infrastructure, you will eliminate the need for external hosting and empower business users to make informed decisions by bridging the gap between raw data and solutions using your engineering prowess, Databricks apps, Databricks SQL, Lakebase and AgentBricks.

The Impact You Will Have:

• Build: Design and develop robust frontend interfaces and API backends (e.g., FastAPI routing user queries to model-serving endpoints). Build solutions ranging from data-rich dashboards to enterprise chat solutions powered by the Mosaic AI Agent Framework.
• Architect: Design secure and scalable application architectures that can suffice GTM requirements on building custom SaaS applications.
• Scale: Create scalable applications that seamlessly connect to Databricks SQL via the Statement Execution API or Databricks SDK. Establish CI/CD pipelines using Declarative Automation Bundles (DABs) to automate deployment across development, staging, and production workspaces.

Qualifications

• 5+ years of experience as a Software Engineer, Data App Developer, or Full-Stack Engineer building interactive web applications.
• Proficient in Python, DBSQL and/or Node.js.
• Experience with frameworks like Streamlit, Dash, Flask, FastAPI, React, or Express is required.
• Knowledge of the Databricks ecosystem.
• Familiarity with Unity Catalog, Databricks SQL, Databricks SDK for Python, and Model Serving is highly preferred.
• Experience building for scale and security.
• Experience with CI/CD tools, Infrastructure as Code (specifically Databricks Asset Bundles), and implementing secure OAuth flows.
• Passionate about applying AI.
• Experience integrating LLMs or Mosaic AI Agent Frameworks into application backends to deliver intelligent chat and RAG solutions.
• Excel in a collaborative environment.
• Ability to translate stakeholder requirements into intuitive user interfaces, working through dependencies and troubleshooting deployment errors or telemetry logs.

Benefits

• Comprehensive benefits and perks that meet the needs of all employees.
• Eligibility for annual performance bonus, equity, and additional benefits.

Company Description

At Databricks, our mission is to radically simplify the entire data lifecycle—from ingestion to ETL, BI, and through to ML/AI. We believe the traditional data warehouse architecture will be replaced by the new Data Intelligence Platform built on the Lakehouse, an open platform that unifies data warehousing and advanced analytics.