What are the responsibilities and job description for the AWS Snowflake Architect position at PineQ Lab Technology?
15 years of overall IT experience with deep expertise in AWS cloud and data platform architecture.
Strong hands-on experience implementing Snowflake-based enterprise data warehouse solutions.
Proven experience leading cloud data transformation and migration projects.
Ability to work with executive stakeholders and provide technical leadership across large enterprise programs
Role Descriptions: We are seeking a highly experienced AWS Snowflake Architect to lead cloud data platform modernization| data lake| data warehouse| and analytics initiatives. The ideal candidate will possess strong expertise in AWS cloud architecture| Snowflake data warehousing| data migration| ETL/ELT frameworks| infrastructure automation| and cloud-native data engineering solutions.The role involves designing scalable| secure| and high-performance data platforms| driving cloud transformation programs| mentoring technical teams| and collaborating with business stakeholders to deliver enterprise-wide data solutions. Candidate profile aligns with large-scale Healthcare| Financial Services| and Enterprise Data Modernization initiatives. Key ResponsibilitiesArchitect and implement enterprise-scale data lakes and cloud data warehouse solutions on AWS and Snowflake. Design and build scalable ELT/ETL frameworks using Snowflake| AWS Glue| Lambda| and Step Functions. Lead cloud migration initiatives from on-premises databases and applications to AWS. Define and implement Medallion Architecture (Bronze| Silver| Gold layers) for modern data platforms. Design CDC-based data integration solutions using AWS DMS| Snowpipe| Streams| and Tasks. Establish data governance| security controls| role-based access management| and compliance standards. Develop Infrastructure as Code (IaC) solutions using Terraform and CloudFormation. Implement CI/CD pipelines and automation for data platform deployments. Optimize Snowflake performance| storage| compute utilization| and cloud infrastructure costs. Provide technical leadership and mentorship to onshore and offshore teams.
Essential Skills: We are seeking a highly experienced AWS Snowflake Architect to lead cloud data platform modernization| data lake| data warehouse| and analytics initiatives. The ideal candidate will possess strong expertise in AWS cloud architecture| Snowflake data warehousing| data migration| ETL/ELT frameworks| infrastructure automation| and cloud-native data engineering solutions.The role involves designing scalable| secure| and high-performance data platforms| driving cloud transformation programs| mentoring technical teams| and collaborating with business stakeholders to deliver enterprise-wide data solutions. Candidate profile aligns with large-scale Healthcare| Financial Services| and Enterprise Data Modernization initiatives. Key ResponsibilitiesArchitect and implement enterprise-scale data lakes and cloud data warehouse solutions on AWS and Snowflake. Design and build scalable ELT/ETL frameworks using Snowflake| AWS Glue| Lambda| and Step Functions. Lead cloud migration initiatives from on-premises databases and applications to AWS. Define and implement Medallion Architecture (Bronze| Silver| Gold layers) for modern data platforms. Design CDC-based data integration solutions using AWS DMS| Snowpipe| Streams| and Tasks. Establish data governance| security controls| role-based access management| and compliance standards. Develop Infrastructure as Code (IaC) solutions using Terraform and CloudFormation. Implement CI/CD pipelines and automation for data platform deployments. Optimize Snowflake performance| storage| compute utilization| and cloud infrastructure costs. Provide technical leadership and mentorship to onshore and offshore teams.