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App Engineer - GTM Strategy and Operations Databricks · Chicago, Illinois
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Databricks

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App Engineer - GTM Strategy and Operations

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🗓️ Posted 2026-09-02 Chicago, Illinois Hybrid ICT
💰 Salary Not shared 📊 Market NA

About the Company

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 platform that unifies data warehousing and advanced analytics.

Role & Responsibilities

  • ● Design, build, and maintain scalable data web applications, AI chatbots, and custom operational interfaces using frameworks like Streamlit, React, and FastAPI.
  • ● Eliminate the need for external hosting and empower business users to make informed decisions by bridging the gap between raw data and solutions using engineering prowess, Databricks apps, Databricks SQL, Lakebase and AgentBricks.
  • ● 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.
  • ● Design secure and scalable application architectures that can suffice GTM requirements on building custom SaaS applications.
  • ● 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.

Requirements

Experience

  • ● 5+ years of experience working as a Software Engineer, Data App Developer, or Full-Stack Engineer building interactive web applications.
  • ● Experience with frameworks like Streamlit, Dash, Flask, FastAPI, React, or Express is required.
  • ● Experience with CI/CD tools, Infrastructure as Code (specifically Databricks Asset Bundles), and implementing secure OAuth flows.

Skills

  • ● Proficient in full stack Python, DBSQL and/or Node.js.
  • ● Familiarity with Unity Catalog, Databricks SQL, Databricks SDK for Python, and Model Serving is highly preferred.
  • ● Experience integrating Data, Genie & LLMs Frameworks into application backends to deliver intelligent conversational, voice driven analytics solutions.
  • ● Ability to translate stakeholder requirements into intuitive user interfaces, working through dependencies and troubleshooting deployment errors or telemetry logs.