Senior AWS Data Engineer
Adastra Corporation•Markham, ON
•Hybrid
About The Position
We are seeking a Lead AWS Data Engineer to join a data enablement and AI-focused initiative supporting a leading global institutional investment organization. The role will be responsible for designing and implementing secure, scalable, and governed AWS data solutions, with a strong focus on modern data lake technologies, fine-grained data access controls, and enterprise data engineering best practices. The successful candidate will work closely with data, cloud, and AI teams to deliver reliable data platforms that support critical investment and business functions.
Requirements
- Proven experience as a Data Engineer with strong hands-on experience designing and implementing AWS data solutions
- Strong experience with AWS Lake Formation, AWS Glue Data Catalog, and Amazon Athena
- Hands-on experience building and managing modern cloud-based data lakes
- Strong knowledge of Apache Iceberg and modern data lake architectures
- Demonstrated experience implementing fine-grained data access controls, including LF-Tags, row-level security, column-level security, and data filtering
- Strong programming skills in Python and PySpark
- Advanced SQL skills, including complex data transformation and analytical queries
- Hands-on experience with Amazon Athena Workgroups and data access mechanisms
- Strong experience with Terraform and Infrastructure-as-Code practices
- Experience designing secure, scalable, and governed enterprise data platforms
- Strong understanding of data governance, security, performance, and maintainability best practices
- Ability to collaborate effectively with data engineering, cloud, AI, and other cross-functional teams
Nice To Haves
- Experience working in financial services, investment management, or other highly regulated enterprise environments
- Experience supporting data and AI-focused initiatives
- Experience with additional AWS analytics and data services
- Experience working with enterprise data governance frameworks
- Previous experience in a technical lead or senior engineering capacity
Responsibilities
- Design, develop, and maintain scalable data engineering solutions on AWS
- Build and manage data lakes using AWS Lake Formation, AWS Glue Data Catalog, Apache Iceberg, and Amazon Athena
- Implement fine-grained data access controls including LF-Tags, row-level security, column-level security, and data filtering
- Develop, optimize, and maintain data processing pipelines using Python and PySpark
- Write complex and efficient SQL queries for data transformation, analysis, and validation
- Configure and manage Amazon Athena Workgroups and related data access mechanisms
- Use Terraform to automate infrastructure provisioning and management following Infrastructure-as-Code best practices
- Collaborate with data, cloud, and AI teams to deliver secure and reliable enterprise data solutions
- Apply best practices for data governance, security, scalability, performance, and maintainability
- Troubleshoot and optimize data platforms and pipelines to ensure reliability and performance
Benefits
- Successful referral program
- The opportunity to work with one of Canada’s 50 Best Managed Companies
- Satisfaction of working for a reputable company
- A flexible, dynamic, and diverse workplace
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
