Princeton IT Services, Inc
Job Title
AWS Data Architect Location
Neenah, WI or Oconomowoc, WI (Onsite) Job type
Contract Position Overview
We are looking for a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms supporting scalable analytics and business intelligence. The ideal candidate will have strong expertise in AWS services, data modeling, data lakes, ETL pipelines, and modern big data ecosystems. Open to candidates willing to relocate to Wisconsin. Key Responsibilities
Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and real-time streaming solutions. Define data ingestion, transformation, and storage strategies using AWS native services such as Glue, Lambda, EMR, S3, Redshift, Athena, etc. Architect and optimize ETL/ELT pipelines ensuring security, reliability, and high performance. Collaborate with data engineers, analysts, and business teams to translate business requirements into scalable technical solutions. Establish and maintain data governance, security, and compliance frameworks (IAM, KMS, Lake Formation). Improve data systems for performance, cost-efficiency, and scalability. Lead data migration projects from on-prem or other cloud platforms into AWS. Provide technical leadership, guidance, and mentorship to data engineering teams. Required Skills & Qualifications
10+ years of experience in Data Architecture, Data Engineering, or Cloud Architecture. Strong hands–on experience with AWS services:
Storage & Compute: S3, EC2, Lambda, ECS, EKS Data Processing: Glue, EMR, Kinesis, Step Functions
Expertise in data modeling, data lake design, and distributed processing. Strong understanding of ETL/ELT frameworks and big data ecosystems. Experience with security, governance, and AWS best practices. Excellent communication and stakeholder management skills. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology
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AWS Data Architect Location
Neenah, WI or Oconomowoc, WI (Onsite) Job type
Contract Position Overview
We are looking for a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms supporting scalable analytics and business intelligence. The ideal candidate will have strong expertise in AWS services, data modeling, data lakes, ETL pipelines, and modern big data ecosystems. Open to candidates willing to relocate to Wisconsin. Key Responsibilities
Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and real-time streaming solutions. Define data ingestion, transformation, and storage strategies using AWS native services such as Glue, Lambda, EMR, S3, Redshift, Athena, etc. Architect and optimize ETL/ELT pipelines ensuring security, reliability, and high performance. Collaborate with data engineers, analysts, and business teams to translate business requirements into scalable technical solutions. Establish and maintain data governance, security, and compliance frameworks (IAM, KMS, Lake Formation). Improve data systems for performance, cost-efficiency, and scalability. Lead data migration projects from on-prem or other cloud platforms into AWS. Provide technical leadership, guidance, and mentorship to data engineering teams. Required Skills & Qualifications
10+ years of experience in Data Architecture, Data Engineering, or Cloud Architecture. Strong hands–on experience with AWS services:
Storage & Compute: S3, EC2, Lambda, ECS, EKS Data Processing: Glue, EMR, Kinesis, Step Functions
Expertise in data modeling, data lake design, and distributed processing. Strong understanding of ETL/ELT frameworks and big data ecosystems. Experience with security, governance, and AWS best practices. Excellent communication and stakeholder management skills. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology
#J-18808-Ljbffr