Job Title: AWS Data Architect
Location: Neenah, WI
Job type: Contract
Position Overview
We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems, and will work closely with engineering and business teams to deliver secure, high-performance data solutions.
Key Responsibilities
- Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and streaming solutions
- Define data ingestion, transformation, and storage strategies using AWS-native services
- Architect and oversee ETL/ELT pipelines ensuring reliable, secure, and efficient data flow
- Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions
- Establish and enforce data governance, security, and compliance frameworks following AWS best practices
- Optimize data platforms for performance, scalability, and cost efficiency
- Lead and support data migration initiatives from on-premises or other cloud platforms to AWS
- Provide technical leadership, guidance, and mentorship to data engineering teams
- Document architectures, standards, and best practices
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
- 7+ years of experience in data architecture, data engineering, or cloud architecture
- Strong hands-on expertise with AWS services, including:
Storage & Compute:
- Amazon S3, EC2, Lambda, ECS, EKS
Data Processing & Orchestration:
- AWS Glue, EMR, Kinesis, Step Functions
Analytics & BI:
- Amazon Redshift, Athena, QuickSight
Security & Governance:
- IAM, KMS, Lake Formation
- Proficiency in SQL and Python
- Strong experience with ETL frameworks and data pipeline design
- Solid understanding of data modeling techniques (3NF, Dimensional Modeling, Data Vault)
- Familiarity with data governance, metadata management, and data quality practices
- Excellent communication and stakeholder management skills
Preferred Qualifications
- Experience with large-scale enterprise data platforms
- Exposure to real-time or streaming data architectures
- Knowledge of DevOps / CI-CD practices for data platforms
- AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)