Jobs · Engineering · Wisconsin

AWS Data Architect

Princeton IT Services, Inc · Neenah, WI · 7 mo ago
On-siteEngineeringFull-time

About the role

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.

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

Requirements

  • 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

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)

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