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AWS Cloud Data Architect_Chicago, IL (Hybrid Onsite)

Ace Technologies, Inc.Chicago, IL🇺🇸United StatesPosted Oct 1, 2026

Why This Role Stands Out

This hybrid AWS Cloud Data Architect role at Ace Technologies, Inc. offers a fantastic opportunity to leverage your expertise in Kafka and containerization to drive impactful cloud solutions. You'll thrive here if you enjoy designing and implementing complex data architectures within a dynamic, collaborative environment, and this position is perfect for you to further develop your skills while contributing to a reputable company. Embrace this chance to innovate and grow your career in cloud data!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Chicago, IL, United States
Posted
1 week ago
DockerMongoDBSQLAWSSnowflakeCloudFormationGitHub ActionsJenkinsKafkaKubernetesPostgreSQLPowerShellPythonRedisRedshiftTerraform

Job Description

AWS Cloud Data Architect
Location:- Chicago, IL (Hybrid)

Duration:- 12+ Months
Visa:-

 

Must have:

Kafka at enterprise streaming scale

Kubernetes, Docker, or AWS Fargate

Mixed Windows/Linux server environments

Networking/security group/policy management across UNIX, Linux, Windows

Required technical qualifications:

6+ years in application/platform engineering, BI, or analytics

4+ years senior AWS cloud data engineering — architecting, managing, implementing best practices

Data warehousing: Snowflake, Redshift, or similar

Deep AWS service knowledge: S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, Security Groups

DB/programming: SQL, Python, PostgreSQL, AWS Aurora/RDS, MongoDB, Redis

CI/CD: GitHub Actions, Jenkins, AWS CodePipeline, CloudFormation, Terraform

Strong IAM roles/policies expertise

AWS cloud monitoring/alerting setup

Scripting: PowerShell and/or Python

PaaS/SaaS application performance knowledge

Ability to read enterprise architecture diagrams + understand IT security requirements

Additional qualifications:

Comfort with ambiguity, fast-paced/changing environment

Experience building scalable data pipelines

On-premises to AWS migration experience specifically

BA/BS in Computer Engineering, CS, or related field

Strong communication skills

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