App Engineer - GTM Strategy and Operations

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 platform that unifies data warehousing and advanced analytics.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$125,000—$171,950 USD

Zone 2 Pay Range

$112,600—$154,750 USD

Zone 3 Pay Range

$106,300—$146,200 USD

Zone 4 Pay Range

$100,000—$137,500 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.