Overview
Remote
On Site
$50 - $58 hourly
Contract - W2
Contract - Temp
Skills
Natural Language
IaaS
Unstructured Data
Machine Learning (ML)
Training
Orchestration
Continuous Integration
Continuous Delivery
Collaboration
Analytics
Decision-making
Accessibility
Amazon Web Services
Amazon S3
Step-Functions
Amazon Redshift
Amazon SageMaker
Extract
Transform
Load
Optimization
Cloud Computing
Python
Data Engineering
API
SQL
Workflow
DevOps
Terraform
Marketing Analytics
Customer Intelligence
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Data Architect 3 in Phoenix, AZ.
Summary:
We are seeking a Data Architect with deep expertise in AWS, Python, and Conversational Analytics. The role focuses on building secure, scalable, and resilient systems that enable natural language interaction with data. You'll develop knowledgebases and agents to support business users in accessing insights, while maintaining robust cloud infrastructure.
Key Responsibilities:
* Data Architect 3 will design, build, and optimize data pipelines using AWS
* Apply security best practices across data and AI workflows
* Develop and maintain knowledgebases and conversational agents
* Integrate structured and unstructured data sources
* Implement ML workflows in SageMaker for training, deployment, and monitoring
* Use AWS Bedrock to build and deploy conversational AI solutions
* Ensure data lineage and quality across conversational systems
* Automate orchestration, monitoring, and logging for pipelines and agents
* As a Data Architect 3, you will build and maintain CI/CD pipelines for secure and reliable deployments
* Collaborate with analytics, product, and business teams to improve decision-making and data accessibility
REQUIREMENTS:
* 2+ years hands-on experience with AWS (S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock)
* Experience building knowledgebases and conversational agents
* Solid understanding of ETL design and optimization in cloud platforms
* Strong Python skills for data engineering, automation, and API integration
* Strong SQL skills and familiarity with large-scale data environments
Preferred Qualifications:
* Experience in integrating LLMs into business workflows
* Experience with DevOps/Infrastructure-as-Code (Terraform, CloudFormation)
* Background in marketing analytics or customer intelligence
* Familiarity with Lakehouse frameworks (Iceberg, Delta)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client that is seeking a Data Architect 3 in Phoenix, AZ.
Summary:
We are seeking a Data Architect with deep expertise in AWS, Python, and Conversational Analytics. The role focuses on building secure, scalable, and resilient systems that enable natural language interaction with data. You'll develop knowledgebases and agents to support business users in accessing insights, while maintaining robust cloud infrastructure.
Key Responsibilities:
* Data Architect 3 will design, build, and optimize data pipelines using AWS
* Apply security best practices across data and AI workflows
* Develop and maintain knowledgebases and conversational agents
* Integrate structured and unstructured data sources
* Implement ML workflows in SageMaker for training, deployment, and monitoring
* Use AWS Bedrock to build and deploy conversational AI solutions
* Ensure data lineage and quality across conversational systems
* Automate orchestration, monitoring, and logging for pipelines and agents
* As a Data Architect 3, you will build and maintain CI/CD pipelines for secure and reliable deployments
* Collaborate with analytics, product, and business teams to improve decision-making and data accessibility
REQUIREMENTS:
* 2+ years hands-on experience with AWS (S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock)
* Experience building knowledgebases and conversational agents
* Solid understanding of ETL design and optimization in cloud platforms
* Strong Python skills for data engineering, automation, and API integration
* Strong SQL skills and familiarity with large-scale data environments
Preferred Qualifications:
* Experience in integrating LLMs into business workflows
* Experience with DevOps/Infrastructure-as-Code (Terraform, CloudFormation)
* Background in marketing analytics or customer intelligence
* Familiarity with Lakehouse frameworks (Iceberg, Delta)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.