Databricks expertise meets customer intelligence at Xplore Inc. in this hands-on technical lead role, focused on gold-layer data and AI-ready analytics foundations.

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

Robust SQL, Python, and analytical problem-solving skills

Hands-on gold-layer, testing, and reliability monitoring experience

Experience with CI/CD, DevOps, and automation practices

Apply your Databricks, Python, data quality, and technical leadership experience to Xplore’s scalable customer analytics foundation.

📌 Senior Databricks Analytics Engineer (Markham)
🏢 Xplore
📍 Markham