Senior Data Engineer - Vancouver

Role overview

Key responsibilities

• Design and implement scalable data pipelines using Microsoft Fabric, Azure Data Factory, PySpark, Spark SQL, and Python.
• Develop ETL/ELT processes for data ingestion, transformation, and loading across warehouses, lakes, and analytical platforms.
• Optimize large-scale data processing workflows for performance, scalability, and reliability.
• Implement data security, governance, and compliance standards aligned with enterprise and regulatory requirements.
• Lead development efforts, provide technical guidance, and ensure delivery within project timelines.
• Lead and mentor data engineering teams and drive technical design and architectural standards.

Technical skills

• Advanced hands-on expertise in Python, PySpark, and SQL is required.
• Strong experience in data modeling, query optimization, and schema design is required.
• Strong proficiency with Microsoft Azure cloud services and Microsoft Fabric is required.
• Relevant technologies include Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Databricks, and Spark.
• Experience with enterprise data warehouse platforms such as Azure Synapse Analytics, Azure SQL Database, Snowflake, Amazon Redshift, or Google BigQuery is required in one or more platforms.
• Experience with Azure Data Lake Storage, Azure Blob Storage, Azure Cosmos DB, and Azure SQL Database is required.
• ETL/ELT tools may include Azure Data Factory, Informatica, or Talend.
• Practical experience with Medallion Architecture and modern data lakehouse patterns is required.

Required experience

• At least 8 years of experience in data engineering, data warehousing, and cloud-based data platforms.
• At least 12 years of experience in SQL development, schema design, and dimensional data modeling.
• Experience developing and optimizing big data solutions using Spark-based technologies.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Demonstrated experience leading technical teams and mentoring engineers.

Preferred qualifications

• Experience with Databricks is highly preferred.
• Experience with Azure DevOps and CI/CD implementation is preferred.
• Knowledge of cloud migration strategies and methodologies is preferred.
• At least 2 years of experience with Power BI is preferred.
• At least 5 years of experience with reporting and visualization tools such as Tableau, OBIEE, or similar platforms is preferred.

Compensation

• The base compensation range for the posted location is CAD 125,000 to CAD 150,000.
• Additional compensation such as variable incentives, bonuses, or commissions may apply depending on the position and applicable laws.

Benefits

• Regular full-time employees may receive paid time off, holidays, personal days, sick leave, healthcare coverage, retirement savings plans, life and disability insurance, and employee assistance programs.
• Benefits depend on local policy and eligibility.