Senior Cloud Data Engineer – Databricks / Azure

Job Type: Contract

Location: Ontario, Canada

Work Model: On-site

About the Role

We are seeking a Senior Cloud Data Engineer with solid experience in Databricks, Azure Data Factory, Informatica, Python, SQL, and Delta Lake . The ideal candidate will design and develop enterprise-scale data pipelines, lakehouse solutions, ETL processes, and cloud data platforms.

Key Responsibilities

- Develop ETL/ELT pipelines using Databricks, ADF, Informatica, Python, and SQL .
- Design solutions using Databricks Medallion Architecture and Delta Lake/Lakehouse .
- Develop data orchestration, automation, CI/CD, and deployment processes.
- Build and optimize enterprise data lakes, lakehouses, and data warehouses .
- Perform data migration, integration, transformation, and performance tuning.
- Implement DataOps, data quality, governance, security, and data lineage .




- Develop data models including fact/dimension models and star schemas .
- Troubleshoot production issues and support testing and deployments.
- Collaborate with technical teams and stakeholders to deliver scalable data solutions.

Must-Have Skills
- Databricks & Medallion Architecture
- Azure Data Factory (ADF)
- Informatica
- Python & SQL
- Delta Lake / Lakehouse
- ETL/ELT & Data Pipeline Development
- Azure Cloud Data Services
- CI/CD & Azure DevOps
- Data Modeling & Data Warehousing
- DataOps, Data Quality & Data Governance

Nice to Have
- Microsoft Fabric
- SSIS / T-SQL / PL/SQL
- Microsoft Entra ID
- Large-scale OLTP/OLAP migration
- AODA/WCAG
- Public-sector experience
- Databricks/Fabric certification

📌 Senior Cloud Data Engineer – Databricks / Azure (Toronto)
🏢 TechDoQuest
📍 Toronto