Senior Data Engineer Lead (AWS, Cloud Technologies)-Markham,Ontario

Job Description

Job Description

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. You’ll lead technical strategy, design modern data ecosystems, and deliver scalable pipelines supporting the client’s 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