App Engineer - GTM Strategy and Operations

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.

• 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.

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

Zone 1: $125,000—$171,950 USD; Zone 2: $112,600—$154,750 USD; Zone 3: $106,300—$146,200 USD; Zone 4: $100,000—$137,500 USD. Total compensation may include annual performance bonus, equity, and benefits.

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform. Headquartered in San Francisco with 30+ offices around the globe.

Comprehensive benefits and perks; details by region available on the company page.