

DataEdge Consulting
AWS Solution Architect / Technical Lead [W2 ONLY]
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AWS Solution Architect / Technical Lead" with a contract length of unspecified duration, offering a pay rate of $[insert rate]. It requires 5+ years in AWS cloud architecture and expertise in Python, MDM, and DevOps practices. Remote work is available.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 8, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#CRM (Customer Relationship Management) #MDM (Master Data Management) #AI (Artificial Intelligence) #Documentation #Metadata #Scripting #DynamoDB #Aurora #Compliance #AWS (Amazon Web Services) #Terraform #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Code Reviews #Data Quality #Agile #Snowflake #Python #Infrastructure as Code (IaC) #Scrum #Automation #DevOps #GDPR (General Data Protection Regulation) #Leadership #Informatica #Cloud #Data Pipeline #Observability #Redshift #API (Application Programming Interface) #Data Management #ChatGPT #Data Engineering #Scala #Athena #AWS Glue #S3 (Amazon Simple Storage Service) #Data Governance #Lambda (AWS Lambda) #Data Privacy #Security #Microservices
Role description
AWS Solution Architect / Technical Lead / Remote OK / Charlotte, NC Preferred
MUST BE ON OUR W2
NO C2C / Corp-Corp
About our Customer & Role:
Our direct customer, a global Fortune 500 company & a leader in the Food Services industry is looking for a βAWS Technical Leadβ, with deep expertise in designing and delivering modern, scalable data and application solutions in the cloud. This role blends strategic architecture leadership with hands-on technical implementation across AWS-native services and Python-based data pipelines. The ideal candidate will have a strong foundation in cloud architecture, data engineering, integration, and DevOps practices. The primary function of this role is to lead the design and implementation of Master Data Management (MDM) solutions.
Qualifications:
β’ 5+ years of experience in Cloud Architecture, data engineering, or solution development in AWS environments.
β’ 2+ years in a technical leadership role, overseeing architecture decisions and mentoring developers.
β’ Expertise in core AWS services: S3, Lambda, Glue, Redshift, DynamoDB, API Gateway, Step Functions, Aurora.
β’ Proficient in Python for scripting, automation, and ETL development.
β’ Familiarity with microservices architecture, API design, and serverless computing models.
β’ Solid understanding of DevOps practices including CI/CD, observability, and infrastructure automation.
β’ Experience managing delivery using Agile, Scrum, or SAFe methodologies.
Nice-to-Have / Preferred Skills:
β’ Exposure to Master Data Management (MDM) platforms such as Informatica, Reltio, or Stibo.
β’ AWS certifications (e.g., Solutions Architect, DevOps Engineer, Data Analytics).
β’ Knowledge of modern data stack and Lakehouse architecture (e.g., Lake Formation, Athena, Snowflake).
β’ Familiarity with metadata management, data quality frameworks, and data governance.
β’ Understanding of data privacy and compliance (GDPR, CCPA).
β’ Integration experience with enterprise systems and tools like ServiceNow.
Responsibilities:
β’ Collaborate with product and business stakeholders to align architectural decisions with product vision and enterprise objectives.
β’ Lead solution design and development across data platforms, APIs, applications, and services using AWS-native tools.
β’ Architect cloud-native systems using services such as AWS Glue, Lambda, S3, Redshift, DynamoDB, Aurora, and Step Functions.
β’ Design robust, secure, and scalable data pipelines and microservices using Python and modern cloud patterns.
β’ Translate complex business needs into scalable, maintainable technical solutions that prioritize performance and cost efficiency.
β’ Guide technical teams through development best practices, code reviews, and architecture discussions.
β’ Drive cloud modernization initiatives, establishing IaC practices using AWS CDK, Terraform, or CloudFormation.
β’ Define and enforce cloud architecture standards, security protocols, governance, and operational best practices.
β’ Utilize Agile or SAFe methodologies to deliver value iteratively while tracking progress and managing risk.
β’ Promote a culture of innovation, mentoring engineers and fostering collaboration across teams.
β’ Integrate cloud solutions with enterprise platforms (e.g., CRM, ERP, BI tools) via APIs and data connectors.
β’ Leverage AI/LLM tools (e.g., ChatGPT) for documentation, testing, automation, and accelerating development workflows.
AWS Solution Architect / Technical Lead / Remote OK / Charlotte, NC Preferred
MUST BE ON OUR W2
NO C2C / Corp-Corp
About our Customer & Role:
Our direct customer, a global Fortune 500 company & a leader in the Food Services industry is looking for a βAWS Technical Leadβ, with deep expertise in designing and delivering modern, scalable data and application solutions in the cloud. This role blends strategic architecture leadership with hands-on technical implementation across AWS-native services and Python-based data pipelines. The ideal candidate will have a strong foundation in cloud architecture, data engineering, integration, and DevOps practices. The primary function of this role is to lead the design and implementation of Master Data Management (MDM) solutions.
Qualifications:
β’ 5+ years of experience in Cloud Architecture, data engineering, or solution development in AWS environments.
β’ 2+ years in a technical leadership role, overseeing architecture decisions and mentoring developers.
β’ Expertise in core AWS services: S3, Lambda, Glue, Redshift, DynamoDB, API Gateway, Step Functions, Aurora.
β’ Proficient in Python for scripting, automation, and ETL development.
β’ Familiarity with microservices architecture, API design, and serverless computing models.
β’ Solid understanding of DevOps practices including CI/CD, observability, and infrastructure automation.
β’ Experience managing delivery using Agile, Scrum, or SAFe methodologies.
Nice-to-Have / Preferred Skills:
β’ Exposure to Master Data Management (MDM) platforms such as Informatica, Reltio, or Stibo.
β’ AWS certifications (e.g., Solutions Architect, DevOps Engineer, Data Analytics).
β’ Knowledge of modern data stack and Lakehouse architecture (e.g., Lake Formation, Athena, Snowflake).
β’ Familiarity with metadata management, data quality frameworks, and data governance.
β’ Understanding of data privacy and compliance (GDPR, CCPA).
β’ Integration experience with enterprise systems and tools like ServiceNow.
Responsibilities:
β’ Collaborate with product and business stakeholders to align architectural decisions with product vision and enterprise objectives.
β’ Lead solution design and development across data platforms, APIs, applications, and services using AWS-native tools.
β’ Architect cloud-native systems using services such as AWS Glue, Lambda, S3, Redshift, DynamoDB, Aurora, and Step Functions.
β’ Design robust, secure, and scalable data pipelines and microservices using Python and modern cloud patterns.
β’ Translate complex business needs into scalable, maintainable technical solutions that prioritize performance and cost efficiency.
β’ Guide technical teams through development best practices, code reviews, and architecture discussions.
β’ Drive cloud modernization initiatives, establishing IaC practices using AWS CDK, Terraform, or CloudFormation.
β’ Define and enforce cloud architecture standards, security protocols, governance, and operational best practices.
β’ Utilize Agile or SAFe methodologies to deliver value iteratively while tracking progress and managing risk.
β’ Promote a culture of innovation, mentoring engineers and fostering collaboration across teams.
β’ Integrate cloud solutions with enterprise platforms (e.g., CRM, ERP, BI tools) via APIs and data connectors.
β’ Leverage AI/LLM tools (e.g., ChatGPT) for documentation, testing, automation, and accelerating development workflows.





