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AWS Data Architect

Princeton IT Services
Neenah, WI, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
www.thejobnetwork.com

Tech stack

Third Normal Form Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Big Data Cloud Engineering Information Systems Continuous Integration Data Architecture Information Engineering Data Governance
+27 more
Extract Transform Load (ETL) Data Migration Data Systems Data Vault Modeling Data Warehousing DevOps Dimensional Modeling Identity and Access Management Python (Programming Language) Meta-Data Management SQL Databases Data Streaming Enterprise Data Management Data Processing Cloud Platform System Data Ingestion State Machines Electronic Medical Records Data Lakes Information Technology AWS Glue Data Analytics AWS Data Analytics Data Management Functional Programming Data Pipelines Amazon Redshift

Job description

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., * 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, * 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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