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# AWS Data Architect

- **Company:** Optimuss Inc
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, DevOps, Apache Hadoop, Apache Hive, Cloud Services, DataOps, Sqoop, Data Streaming, Snowflake, Apache Spark, Cloudformation, Data Lakes, Infrastructure Automation Frameworks, Apache Kafka, Data Management, Physical Data Models, Terraform, Data Pipelines, Amazon Redshift
- **Published:** June 30, 2026
- **Apply:** https://www.dice.com/job-detail/7d0d8f6c-03f5-494f-83af-3cfc3ff5492b

## About the Role

We are seeking an experienced Data Architect with 15 years of experience in designing and implementing enterprise-scale data platforms on AWS and Snowflake. The ideal candidate will have strong expertise in building scalable data lakes, lakehouses, data warehouses, and high-performance ETL/ELT pipelines., * Cloud: AWS, Snowflake, Redshift, Glue, Athena, EMR, Kinesis, Lake Formation

 * Big Data: Spark, Hadoop, Hive, Kafka, Sqoop

 * Data: Data Architecture, Data Modeling, ETL/ELT, Data Lakes, Lakehouses, Data Warehousing

 * DevOps: Terraform, CloudFormation, CI/CD, DataOps

 * AI/ML (Preferred): SageMaker, Bedrock, Comprehend, Rekognition

Strong communication, stakeholder management, and experience delivering secure, scalable, cloud-native data solutions are essential.

## Description

* Design and architect modern data platforms using AWS and Snowflake.

 * Develop scalable Data Lakes, Lakehouses, and Data Warehouse solutions.

 * Design conceptual, logical, and physical data models.

 * Optimize Snowflake performance, scalability, security, and cost.

 * Build architecture diagrams, data flows, and technical documentation.

 * Provide technical leadership and collaborate with Data Engineering, BI, and business teams.

 * Implement DataOps, CI/CD, Infrastructure as Code (Terraform/CloudFormation), and data governance best practices.

 * Support AI/ML initiatives using AWS services such as SageMaker, Bedrock, Comprehend, and Rekognition.


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