More jobs:
Senior AWS Big Data Architect; Cloud Data Platforms & Streaming Analytics
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-05-23
Listing for:
GCS Recruitment
Full Time
position Listed on 2026-05-23
Job specializations:
-
IT/Tech
Data Engineer, Big Data, Cloud Computing
Job Description & How to Apply Below
Senior AWS Big Data Architect (Cloud Data Platforms & Streaming Analytics)
Location: Chicago
Work Arrangement: Hybrid
Employment Type: Contract
We are seeking a highly specialized AWS Big Data Architect to lead the design and implementation of enterprise-scale cloud data platforms and real-time analytics solutions. This role requires deep expertise across AWS data services, distributed processing frameworks, streaming technologies, and large-scale data architecture.
The ideal candidate will have extensive experience building modern lakehouse architectures, optimizing high-volume ETL pipelines, and enabling scalable analytics and machine learning workloads within cloud-native environments.
Key Responsibilities- Architect and implement scalable big data solutions on AWS
- Design modern data lake and lakehouse architectures
- Build and optimize real-time and batch data processing pipelines
- Lead cloud migration and modernization initiatives for enterprise data platforms
- Design streaming data solutions using Kafka and AWS-native streaming services
- Develop scalable ETL/ELT frameworks and data orchestration workflows
- Define data governance, security, and compliance standards
- Collaborate with engineering, analytics, and platform teams on enterprise data strategies
- Optimize performance, cost, scalability, and resiliency across data environments
- Provide architectural leadership and technical mentorship
- 10+ years of experience in data engineering and architecture
- 5+ years designing enterprise-scale AWS big data solutions
- Deep expertise with AWS services including:
- EMR
- Glue
- Redshift
- Athena
- Kinesis
- Lambda
- S3
- IAM
- Lake Formation
- Strong experience with:
- Apache Spark
- Hadoop ecosystem
- Kafka
- Airflow
- Databricks
- Experience designing:
- Data lakes
- Lakehouse architectures
- Real-time streaming platforms
- Event-driven architectures
- Strong SQL and Python/Scala development skills
- Expertise with infrastructure automation:
- Terraform
- Cloud Formation
- Experience implementing data governance and security best practices
- Strong understanding of distributed systems and high-volume data processing
- Experience supporting ML/AI data platforms
- Knowledge of Delta Lake, Iceberg, or Hudi
- Experience with observability and monitoring frameworks
- Background supporting enterprise analytics or customer data platforms
- AWS Certified Solutions Architect or AWS Data Analytics certification
- Telecom, media, or large enterprise environment experience
- Exposure to containerized data platforms using Kubernetes
- Experience with Fin Ops and cloud cost optimization strategies
Position Requirements
10+ Years
work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×