Databricks Dashboard Engineer
Role details
Job location
Tech stack
Job description
The Senior Analyst / Data Scientist is responsible for building advanced marketing analytics capabilities and automated reporting in DataBricks by leveraging PySpark, data science Python libraries, and the channel marketing and contact data available in DataBricks. The analyst is also responsible for designing and building dashboards that connect to Genie allowing business users to "chat with their data" by using Databricks' native dataviz tools and Plotly. This role focuses on enabling non-technical business users with access to clean data and meaningful insights via a chat interface., Develop interactive dashboards using Databricks SQL and visualization tools
Build KPI views for operations, production, and business metrics
Design user-friendly dashboards for business and technical users
Integrate dashboards with curated datasets (Gold layer)
Support performance optimization of dashboards and queries
Collaborate with data engineers to ensure data availability and quality
Ensure data governance, security, and access control compliance
Requirements
8 years experience in BI or analytics development
Strong SQL skills
Experience with Databricks SQL dashboards
Basic Python knowledge
Understanding of Lakehouse architecture