Senior Data Engineer Lead (AWS Cloud Technologies) Location: Markham ON
Position Type: Full-time / Contract
Mode: Hybrid (3 days onsite mandatory)
About the Company Our client is a leading global digital transformation and consulting organization that partners with Fortune 500 enterprises to enable innovation scalability and business agility through next-generation technologies. With deep expertise across data cloud AI and automation the organization drives measurable outcomes and operational excellence across industries.
About the Role As a Senior Data Engineer Lead you will play a key role in architecting and implementing enterprise-scale data solutions. Youll lead technical strategy design modern data ecosystems and deliver scalable pipelines supporting the clients next-generation Snowflake-based data platform to enable AI and GenAI capabilities.
You will report to the AVP Data Engineering and collaborate with a high-performing global team to build a robust data foundation aligned with enterprise architecture goals.
Key Responsibilities -
Define and drive enterprise data engineering standards strategy and best practices.
-
Design and implement scalable high-performance data pipelines using dbt Core/Cloud and AWS.
-
Develop high-level and low-level data architecture aligned with business goals.
-
Lead teams in coding testing and deployment using SQL Python Shell and Terraform.
-
Champion data governance cataloging and quality initiatives.
-
Perform root cause analysis and implement sustainable solutions.
-
Mentor junior engineers and foster engineering excellence.
-
Collaborate with architects QA and product teams for seamless delivery.
-
Produce comprehensive technical documentation and contribute to team hiring.
Required Skills & Experience -
15 years of experience delivering enterprise data projects end-to-end.
-
5 years of experience in Snowflake dbt Core/Cloud and AWS Cloud Technologies.
-
Strong coding experience in Python SQL Shell and Terraform.
-
In-depth knowledge of relational and NoSQL databases (Snowflake PostgreSQL MongoDB Amazon Aurora).
-
Hands-on experience with orchestration tools like AWS Managed Airflow or Zena.
-
Excellent communication and leadership skills.
-
Familiarity with AI/ML and GenAI operationalization is an advantage.
-
Insurance domain knowledge is a plus.
Preferred Certifications -
SnowPro Core / Advanced Data Engineer (DEA-C01 or C02)
-
SnowPro Advanced: Architect (ARA-C01)
-
dbt Developer Certification
-
AWS Cloud Practitioner
Senior Data Engineer Lead (AWS Cloud Technologies) Location: Markham ON Position Type: Full-time / Contract Mode: Hybrid (3 days onsite mandatory) About the Company Our client is a leading global digital transformation and consulting organization that partners with Fortune 500 enterprises to en...
Senior Data Engineer Lead (AWS Cloud Technologies) Location: Markham ON
Position Type: Full-time / Contract
Mode: Hybrid (3 days onsite mandatory)
About the Company Our client is a leading global digital transformation and consulting organization that partners with Fortune 500 enterprises to enable innovation scalability and business agility through next-generation technologies. With deep expertise across data cloud AI and automation the organization drives measurable outcomes and operational excellence across industries.
About the Role As a Senior Data Engineer Lead you will play a key role in architecting and implementing enterprise-scale data solutions. Youll lead technical strategy design modern data ecosystems and deliver scalable pipelines supporting the clients next-generation Snowflake-based data platform to enable AI and GenAI capabilities.
You will report to the AVP Data Engineering and collaborate with a high-performing global team to build a robust data foundation aligned with enterprise architecture goals.
Key Responsibilities -
Define and drive enterprise data engineering standards strategy and best practices.
-
Design and implement scalable high-performance data pipelines using dbt Core/Cloud and AWS.
-
Develop high-level and low-level data architecture aligned with business goals.
-
Lead teams in coding testing and deployment using SQL Python Shell and Terraform.
-
Champion data governance cataloging and quality initiatives.
-
Perform root cause analysis and implement sustainable solutions.
-
Mentor junior engineers and foster engineering excellence.
-
Collaborate with architects QA and product teams for seamless delivery.
-
Produce comprehensive technical documentation and contribute to team hiring.
Required Skills & Experience -
15 years of experience delivering enterprise data projects end-to-end.
-
5 years of experience in Snowflake dbt Core/Cloud and AWS Cloud Technologies.
-
Strong coding experience in Python SQL Shell and Terraform.
-
In-depth knowledge of relational and NoSQL databases (Snowflake PostgreSQL MongoDB Amazon Aurora).
-
Hands-on experience with orchestration tools like AWS Managed Airflow or Zena.
-
Excellent communication and leadership skills.
-
Familiarity with AI/ML and GenAI operationalization is an advantage.
-
Insurance domain knowledge is a plus.
Preferred Certifications -
SnowPro Core / Advanced Data Engineer (DEA-C01 or C02)
-
SnowPro Advanced: Architect (ARA-C01)
-
dbt Developer Certification
-
AWS Cloud Practitioner
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