About this role
SLSQ327R184
Title - App Engineer - GTM Strategy and Operations
Job Family - Business Intelligence Manager (L6)
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Role: 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: You will design and develop robust frontend interfaces and API backends (e.g., FastAPI routing user queries to model-serving endpoints). You will build solutions ranging from data-rich dashboards to enterprise chat solutions powered by the Mosaic AI Agent Framework.
• Architect: You will design secure and scalable application architectures that can suffice GTM requirements on building custom SaaS applications.
• Scale: You will create scalable applications that seamlessly connect to Databricks SQL via the Statement Execution API or Databricks SDK. You will establish CI/CD pipelines using Declarative Automation Bundles (DABs) to automate deployment across development, staging, and production workspaces.
What we look for:
• You have 5+ years of experience working as a Software Engineer, Data App Developer, or Full-Stack Engineer building interactive web applications.
• You are proficient in full stack Python, DBSQL and/or Node.js. Experience with frameworks like Streamlit, Dash, Flask, FastAPI, React, or Express is required.
• You know the Databricks ecosystem. Familiarity with Unity Catalog, Databricks SQL, Databricks SDK for Python, and Model Serving is highly preferred.
• You have built for scale and security. Experience with CI/CD tools, Infrastructure as Code (specifically Databricks Asset Bundles), and implementing secure OAuth flows.
• You are passionate about applying AI. User experience integrating Data, Genie & LLMs Frameworks into application backends to deliver intelligent conversational, voice driven analytics solutions.
• You excel in a collaborative environment. You can translate stakeholder requirements into intuitive user interfaces, working through dependencies and troubleshooting deployment errors or telemetry logs.
At Databricks, our mission is to radically simplify the entire data lifecycle—from ingestion to ETL, BI, and through to ML/AI. To achieve this goal, we believe the traditional data warehouse architecture will be replaced by the new Data Intelligence Platform built on the Lakehouse, an open platfo