

Sharp Decisions
Architect L2 ( 3976 )
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Architect L2 (3976) as a Data Engineer, onsite in Torrance, CA, with a multi-year contract. Requires 10+ years in software development, 4+ years in AWS cloud architecture, proficiency in Java, Python, Node.js, and experience with CI/CD and BI tools.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
October 29, 2025
π - Duration
More than 6 months
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ποΈ - Location
On-site
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π - Contract
W2 Contractor
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π - Security
Unknown
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π - Location detailed
Torrance, CA
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π§ - Skills detailed
#EC2 #Terraform #Data Engineering #Kubernetes #Lambda (AWS Lambda) #Cloud #Data Analysis #Infrastructure as Code (IaC) #RDS (Amazon Relational Database Service) #React #ML (Machine Learning) #Microsoft Power BI #Python #Scala #Migration #Docker #BI (Business Intelligence) #Computer Science #AI (Artificial Intelligence) #Visualization #S3 (Amazon Simple Storage Service) #Amazon QuickSight #AWS (Amazon Web Services) #DynamoDB #Tableau #Java
Role description
A client of Sharp Decisions if looking for a Data Engineer. This role isΒ ONSITE in Torrance, CA- Β a multi-year contract with no end date,Β W2 only.
Daily Task Performed:
β’ Architect and design cloud-native applications using AWS services such as EC2, Lambda, S3, RDS, DynamoDB, ECS, EKS, and more.
β’ Write clean, efficient, and maintainable code in Java, Python, Node.js, and React.js to prototype and implement core architectural components.
β’ Define and document architecture standards, best practices, and guidelines.
β’ Collaborate with engineering teams to ensure alignment with architectural vision and scalability goals.
β’ Lead the migration of legacy systems to AWS cloud infrastructure.
β’ Design and implement CI/CD pipelines using Terraform, AWS CloudFormation, and AWS CDK.
β’ Integrate data analysis and visualization tools (e.g., Amazon QuickSight, Power BI, Tableau) into cloud solutions.
Position Success Criteria (Desired) - 'WANTS'
β’ Bachelors or Masters degree in Computer Science, Engineering, or related field.
β’ 10+ years of software development experience, with 4+ years in cloud architecture (AWS).
β’ Strong knowledge of AWS services and cloud architecture patterns.
β’ Proficiency in Java, Python, Node.js, and React.js.
β’ Experience with containerization (Docker, Kubernetes), CI/CD pipelines, and Infrastructure as Code using Terraform, AWS CloudFormation, and AWS CDK.
β’ Hands-on experience with BI tools and data visualization platforms.
β’ Exposure to AI/ML concepts and practical implementation using AWS tools.
β’ Proven ability to write production-grade code and lead by example.
A client of Sharp Decisions if looking for a Data Engineer. This role isΒ ONSITE in Torrance, CA- Β a multi-year contract with no end date,Β W2 only.
Daily Task Performed:
β’ Architect and design cloud-native applications using AWS services such as EC2, Lambda, S3, RDS, DynamoDB, ECS, EKS, and more.
β’ Write clean, efficient, and maintainable code in Java, Python, Node.js, and React.js to prototype and implement core architectural components.
β’ Define and document architecture standards, best practices, and guidelines.
β’ Collaborate with engineering teams to ensure alignment with architectural vision and scalability goals.
β’ Lead the migration of legacy systems to AWS cloud infrastructure.
β’ Design and implement CI/CD pipelines using Terraform, AWS CloudFormation, and AWS CDK.
β’ Integrate data analysis and visualization tools (e.g., Amazon QuickSight, Power BI, Tableau) into cloud solutions.
Position Success Criteria (Desired) - 'WANTS'
β’ Bachelors or Masters degree in Computer Science, Engineering, or related field.
β’ 10+ years of software development experience, with 4+ years in cloud architecture (AWS).
β’ Strong knowledge of AWS services and cloud architecture patterns.
β’ Proficiency in Java, Python, Node.js, and React.js.
β’ Experience with containerization (Docker, Kubernetes), CI/CD pipelines, and Infrastructure as Code using Terraform, AWS CloudFormation, and AWS CDK.
β’ Hands-on experience with BI tools and data visualization platforms.
β’ Exposure to AI/ML concepts and practical implementation using AWS tools.
β’ Proven ability to write production-grade code and lead by example.






