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AWS Big Data Architect III

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Robert Half

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Location:
United States , Chicago

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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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
  • Demonstrate curiosity and willingness to learn and adopt new tools and skills

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, or similar Big Data technologies
  • Kafka
  • Aerospike
  • AWS EKS / containerized environments
What we offer:
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
May 10, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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