Job Title: Lead Data Engineer

City: Toronto

State/Province: Ontario

Posting Start Date: 8/17/26

Job Description:

Job Description

10+ years of experience in enterprise application development, data engineering, and solution architecture.

Design and develop scalable Big Data solutions using Hadoop, Spark, PySpark, Databricks, and Kafka.

Build and optimize batch and real-time data processing pipelines across cloud platforms.

Implement data lake, data warehouse, and data mesh architectures using Snowflake, Redshift, BigQuery, and Dremio.

Develop high-performance ETL/ELT frameworks and data integration solutions.

Lead cloud data engineering initiatives on AWS, Azure, and Google Cloud Platform.

Design and implement streaming solutions using Kafka, Spark Streaming, and Airflow orchestration.

Build REST APIs and microservices using Java, Scala, Python, and Golang.

Architect Generative AI and RAG solutions using LangChain, LangGraph, vector databases, and LLMs.

Drive performance tuning, scalability improvements, and cloud migration initiatives.

Collaborate with business stakeholders to deliver enterprise analytics and AI transformation programs.

Provide technical leadership, mentoring, and best practices for modern data platforms and AI solutions.

Mandatory Skills: Solution Architecture .

Experience: 3-5 Years .

The expected compensation for this role ranges from CAD 80/hr to CAD 100/hr .