LEAD Data Engineer with Snowflake
Lead the development of enterprise-scale ETL/ELT pipelines using Snowflake and Python. Collaborate with Data Architects, Analysts, and business stakeholders to design and implement data warehouse solutions.
- Hybrid
- Mississauga, ON
- Posted Sep 10, 2026
- Apply by Oct 10, 2026
- 1 position
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Job summary
We have Immediate requirement with our Direct Client as a LEAD Data Engineer with Snowflake Experience @ Mississauga ON (Hybrid - 4 Days/Week). if you are interested, Please share your updated resume to [email protected] Title: LEAD Data Engineer with Snowflake Location: Toronto ON (Hybrid - 4 Days/Week). Primary Skills: Snowflake, Python, ETL/ELT, Data Modeling and Airflow Description: 5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred) ETL/ELT pipeline development at enterprise scale Experience with Stored procedures, task, dbt Data warehouse design, data modelling, workflow orchestration (Airflow or equivalent) Soft skills Strong analytical and problem-solving ability Clear communicator; effective cross-functional collaborator, must work effectively with Data Architects, Analysts, and business stakeholders across a large program Satya Prasad Nakka Iris Software 200 Metroplex Drive, Suite #300 Edison, NJ 08817 Mobile: 732-426-9380 www.irissoftware.com
What you’ll do
Lead the development of enterprise-scale ETL/ELT pipelines using Snowflake and Python. Collaborate with Data Architects, Analysts, and business stakeholders to design and implement data warehouse solutions.
Requirements
Requires 5-8 years of experience in SQL, Python, and cloud data platforms, specifically Snowflake. Must be proficient in data modeling, workflow orchestration with Airflow, and dbt.
Listed skills
- SQLPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Snowflake
- Python
- ETL/ELT
- Data Modeling
- Airflow
- SQL
- Stored Procedures
- Dbt
- Data Warehouse Design
- Workflow Orchestration
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Finance & Accounting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Oct 10, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 4 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available