Smart IT Frame LLC

Cloud Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Cloud Architect in Torrance, CA, onsite for a contract duration. Key skills include AWS data platforms, Python, ETL processes, and DevOps practices. Experience with data lakes, data governance, and microservices architecture is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Torrance, CA
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🧠 - Skills detailed
#Data Integration #DevOps #IAM (Identity and Access Management) #Airflow #AWS IAM (AWS Identity and Access Management) #Cloud #Athena #RDS (Amazon Relational Database Service) #Data Ingestion #Spark (Apache Spark) #Amazon EMR (Amazon Elastic MapReduce) #Metadata #AWS RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #Data Lake #Data Modeling #Data Quality #Security #Automation #Data Processing #DMS (Data Migration Service) #PySpark #Data Governance #Data Management #Storage #AWS Lambda #Data Storage #Microservices #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #Programming #Redshift #Data Warehouse #AWS CloudTrail #Visualization #AWS Glue #Amazon Redshift #AWS (Amazon Web Services) #AWS DMS (AWS Database Migration Service) #Python
Role description
Role - AWS Cloud Architect Duration: Torrance CA (Onsite) Key Responsibilities • Lead the design, and implementation of data platforms and data hub solutions on AWS • Design and implement data analytics frameworks, pipelines, and governance models • Architect end-to-end solutions using AWS services for data ingestion, processing, storage, and visualization • Establish data governance, data quality, and metadata management standards Required Skills & Experience • Strong expertise in designing data lakes, data warehouses, and data hubs in the AWS platform. • Proficiency in programming languages such as Python, PySpark, Redshift Stored Proc • Deep understanding of data modeling, ETL/ELT processes, and data integration • Experience with microservices architecture and distributed systems • Experience of DevOps practices, CI/CD, and automation tools AWS Services Expertise • Data Storage / Lakes: Amazon S3, Amazon Redshift, AWS RDS • Data Processing: AWS Glue, AWS Lambda, Amazon EMR • Streaming & Real-Time: AWS DMS, Amazon Kinesis • Analytics & Visualization: PowerBI, AWS Athena • Integration/Orchestration: Amazon Airflow, AWS Step Functions, Amazon EventBridge • Security & Governance: AWS IAM, AWS CloudTrail • DevOps: AWS CloudFormation, AWS CDK