About the role
We are seeking an experienced Data Platform Engineer to design, build, and enhance a cloud-native data platform on AWS and Snowflake. The ideal candidate will have strong expertise in data ingestion, transformation, orchestration, metadata management, and data quality, while building scalable and reliable data pipelines that support enterprise analytics and reporting.
Key Responsibilities
Design and maintain data ingestion pipelines from internal and external sources into AWS S3. Develop and manage Airflow DAGs on EKS for data ingestion, transformation, orchestration, and notifications. Build and maintain dbt models for data transformation in Snowflake. Configure and manage Snowflake integrations, including external stages and environment separation. Develop and maintain data quality frameworks and orchestration metadata. Integrate with AWS Glue Data Catalog and metadata management platforms. Ensure platform reliability, scalability, performance, and cost optimization. Collaborate with analytics and reporting teams to support BI and downstream data consumers. Implement CI/CD pipelines and automate deployment processes. Support containerized workloads and cloud-native platform operations.
Required Skills
Strong experience with Python and SQL. Hands-on experience with Snowflake, Airflow, and dbt (4–6 years preferred).
Experience with AWS services including
IAM S3 SNS SQS API Gateway Lambda DynamoDB EKS Experience building and managing S3-based data lakes. Knowledge of metadata management, data governance, and data catalogs. Experience with CI/CD tools such as GitHub, Azure DevOps, or Octopus. Strong Linux administration and scripting skills (Bash, Python, PowerShell). Experience with container technologies.
Preferred Qualifications
Experience with PySpark. Knowledge of AWS Glue Catalog, IAM cross-account access, and secure data sharing. Experience implementing enterprise data quality frameworks. Experience with Kubernetes and EKS-based data workloads. Exposure to hybrid cloud and on-premises integrations. Experience with hybrid architecture deployments. Familiarity with BI tools such as Cognos or Tableau.
Preferred Skills
Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Experience working in Agile development environments. Ability to build scalable, secure, and cloud-native data platforms.
Not the right fit? Search for Data Engineer jobs in Canada
About Hirematic Talent Solutions
Hirematic Talent Solutions is a boutique recruitment firm dedicated to connecting exceptional talent with growing organizations. We specialize in operations, leadership, logistics, supply chain, and business support recruitment, helping companies identify and hire professionals who drive results.
Our approach is built on quality, precision, and partnership. We take the time to understand both client needs and candidate aspirations to create meaningful, long-term matches that support business growth and career success.
At Hirematic Talent Solutions, we believe great businesses are built by great people
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About the role
We are seeking an experienced Data Platform Engineer to design, build, and enhance a cloud-native data platform on AWS and Snowflake. The ideal candidate will have strong expertise in data ingestion, transformation, orchestration, metadata management, and data quality, while building scalable and reliable data pipelines that support enterprise analytics and reporting.
Key Responsibilities
Design and maintain data ingestion pipelines from internal and external sources into AWS S3. Develop and manage Airflow DAGs on EKS for data ingestion, transformation, orchestration, and notifications. Build and maintain dbt models for data transformation in Snowflake. Configure and manage Snowflake integrations, including external stages and environment separation. Develop and maintain data quality frameworks and orchestration metadata. Integrate with AWS Glue Data Catalog and metadata management platforms. Ensure platform reliability, scalability, performance, and cost optimization. Collaborate with analytics and reporting teams to support BI and downstream data consumers. Implement CI/CD pipelines and automate deployment processes. Support containerized workloads and cloud-native platform operations.
Required Skills
Strong experience with Python and SQL. Hands-on experience with Snowflake, Airflow, and dbt (4–6 years preferred).
Experience with AWS services including
IAM S3 SNS SQS API Gateway Lambda DynamoDB EKS Experience building and managing S3-based data lakes. Knowledge of metadata management, data governance, and data catalogs. Experience with CI/CD tools such as GitHub, Azure DevOps, or Octopus. Strong Linux administration and scripting skills (Bash, Python, PowerShell). Experience with container technologies.
Preferred Qualifications
Experience with PySpark. Knowledge of AWS Glue Catalog, IAM cross-account access, and secure data sharing. Experience implementing enterprise data quality frameworks. Experience with Kubernetes and EKS-based data workloads. Exposure to hybrid cloud and on-premises integrations. Experience with hybrid architecture deployments. Familiarity with BI tools such as Cognos or Tableau.
Preferred Skills
Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Experience working in Agile development environments. Ability to build scalable, secure, and cloud-native data platforms.
Not the right fit? Search for Data Engineer jobs in Canada
About Hirematic Talent Solutions
Hirematic Talent Solutions is a boutique recruitment firm dedicated to connecting exceptional talent with growing organizations. We specialize in operations, leadership, logistics, supply chain, and business support recruitment, helping companies identify and hire professionals who drive results.
Our approach is built on quality, precision, and partnership. We take the time to understand both client needs and candidate aspirations to create meaningful, long-term matches that support business growth and career success.
At Hirematic Talent Solutions, we believe great businesses are built by great people