Description AWS Big Data Architect IIIEmployment Type: 14 Week Contract, Potential for Extension or Conversion
Location: Chicago, IL, Hybrid
Pay: Available on W2 Basis
Position OverviewWe 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.
Key Responsibilities- 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 Required Qualifications- 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
Preferred / Bonus Skills- Scala, Spark, or similar Big Data technologies
- Kafka
- Aerospike
- AWS EKS / containerized environments
Soft Skills & Competencies- Strong organizational and project management skills
- Excellent written and verbal communication skills
- Ability to collaborate effectively across technical and non-technical teams
- Comfortable working under pressure while maintaining quality and accuracy
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