Senior Data Engineer Lead (AWS, Cloud Technologies)-Markham,Ontario
- Compensation
- Not disclosed
- Location
- Markham, Canada
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Contract
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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.
Full description
Job Description
Job DescriptionSenior Data Engineer Lead (AWS, Cloud Technologies)Location: Markham, ON
Position Type: Full-time / Contract
Mode: Hybrid (3 days onsite mandatory)
About the CompanyOur 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 RoleAs 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.