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AWS Big Data Architect III

United States, Chicago · Job Posted May 11, 2026
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Job Description

We are seeking a hands-on AWS Big Data Architect with strong Hadoop and Spark experience to design, develop, and support scalable Big Data Warehouse and Data Lake solutions. This role requires a highly collaborative individual who can work closely with product owners, data scientists, engineers, and business stakeholders to deliver high-quality, business-driven data solutions across the enterprise. The ideal candidate is passionate about data architecture, thrives in fast-paced environments, and is focused on delivering reliable, well-documented, and scalable solutions while continuously learning new technologies.

Job Responsibility

  • Design and develop scalable Big Data Warehouse solutions spanning the full data lifecycle
  • Extend, enhance, and optimize enterprise Data Lake platforms
  • Architect and implement solutions for metadata management and data governance
  • Design and execute strategies for real-time data analysis and decision support
  • Solve complex data integration challenges across multiple systems and data sources
  • Collaborate with data science teams to improve accessibility and usability of actionable data
  • Support and promote data quality, security, and governance initiatives
  • Create and maintain technical and user-facing documentation, including: Data models and schemas
  • Data dictionaries and business glossaries
  • Architecture diagrams and data flow documentation
  • Partner with management, architects, analysts, and engineers across teams

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Processing, or equivalent practical experience
  • Strong experience in data management, data access, and enterprise data warehousing
  • Hands-on experience with Big Data technologies including Hadoop and Spark
  • Proficiency in SQL, including Spark SQL and DataFrames
  • Experience with modern data warehousing and analytics platforms (e.g., Redshift, Spark, Hadoop, web services)
  • Experience in data architecture, data assembly, and data integration
  • Working knowledge of data governance and data security principles
  • Experience with AWS services, including: EMR, EC2, S3
  • Redshift, Athena
  • Aurora
  • Programming experience with Java and framework development
  • At least 2 years of Python development experience
  • Experience with data integration tools (Talend preferred
  • Cascading acceptable)
  • Familiarity with Linux environments
  • Experience with Bitbucket and strong understanding of Git version control
  • Familiarity with CI/CD tools such as Jenkins
  • Experience with relational databases such as PostgreSQL and MySQL
  • Solid understanding of core computer science concepts

Nice to have

  • Scala
  • Spark
  • Kafka
  • Aerospike
  • AWS EKS / containerized environments

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

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