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Senior Databricks Analytics Engineer
Job Description & How to Apply Below
As Senior Intelligence Analytics Engineer, you will design curated datasets, validate pipelines, and build production analytics applications. Your work spans Databricks SQL, lakehouse architecture, Python automation, GenAI, agentic workflows, and executive storytelling. You will support reliable business decisions through trusted customer intelligence.
Key Responsibilities:
Own Databricks gold-layer design and reusable transformation logic
Validate pipeline scalability, maintainability, and end-to-end processing
Build Databricks Apps and executive dashboards
Automate data preparation, reports, and analytics workflows
Establish data validation, monitoring, and corrective action
Requirements:
At least seven years delivering production analytics solutions
Experience with Databricks, Databricks SQL, and lakehouse architecture
Strong SQL, Python, and analytical problem-solving skills
Hands-on gold-layer, testing, and reliability monitoring experience
Experience with CI/CD, Dev Ops, and automation practices
Apply your Databricks, Python, data quality, and technical leadership experience to Xplore’s scalable customer analytics foundation.
Position Requirements
10+ Years
work experience
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