Lead Data Engineer - Azure Data PlatformVDart Inc • Toronto, ON, Canada

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Lead Data Engineer - Azure Data Platform

VDart Inc • Toronto, ON, Canada

3 days ago

Job type

Temporary

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Job description

Role : Lead Data Engineer - Azure Data Platform.

Location : Toronto, ON (Onsite).

Duration : Long Term Contract.

Key Responsibilities :

Data Platform Architecture :

Architect end-to-end data pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Gen2 for enterprise-scale data processing.
Develop production-grade PySpark transformations and Python ETL processes handling petabyte-scale datasets with complex business logic.
Lead data modeling initiatives implementing star schemas, dimensional modeling, and SCD Type 2 for analytics and reporting platforms.

Team Leadership & Technical Excellence :

Mentor and lead data engineering teams of 5-10 engineers through code reviews, technical standards, and architectural decision-making.

Implement enterprise data quality frameworks using Great Expectations, Azure Monitor, and Azure Purview for governance and compliance.

Real-Time & Advanced Analytics :

Design real-time streaming solutions leveraging Azure Event Hubs, Stream Analytics, and Delta Lake for low-latency analytics use cases.

Optimize Spark jobs for cost-efficiency, performance, and scalability across Azure Databricks clusters.

Required Technical Expertise :

Azure Platform (5+ years) : Data Factory, Databricks, Synapse Analytics, Data Lake Gen2, Event Hubs, Stream Analytics, Purview.

Python / PySpark : Pandas, NumPy, PySpark DataFrames / SQL, Delta Lake, MLflow.

Data Modeling : Star Schema, Dimensional Modeling, SCD Type 2, Data Quality Frameworks.

Orchestration : Airflow (MWAA), Data Factory Pipelines, Databricks Workflows.

SQL & Performance : Advanced T-SQL, Spark SQL, Query Optimization.

DevOps & IaC : Terraform, ARM Templates, Azure DevOps CI / CD.

Monitoring : Azure Monitor, Log Analytics, Great Expectations, Monte Carlo.

Leadership Requirements :

Lead developer experience managing data engineering teams through complete SDLC with demonstrated success mentoring junior engineers and driving technical excellence.

Executive stakeholder communication : Translate complex technical concepts into business value during requirement sessions and roadmap presentations.

Agile / Scrum mastery : Lead sprint ceremonies using JIRA, Confluence, and cross-functional collaboration with data scientists, analysts, and business teams.

Experience Profile :

7+ years data engineering experience including 5+ years hands-on Azure platform expertise.

Multiple long-term enterprise projects (1.5+ years each) building production data platforms.

Hands-on Python and PySpark demonstrated across 3+ major projects with complex transformations.

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Lead Data Engineer Azure Data Platform • Toronto, ON, Canada

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