DynamoDB Data Modeler & NoSQL Architect (AWS)

Quantum Technologies LLC

Sunnyvale (CA)

On-site

USD 85,000 - 116,000

Full time

2 days ago
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Job summary

Quantum Technologies. LLC is seeking an experienced AI/ML Data Modeler to design and optimize scalable data models in DynamoDB for cloud-native applications. The role focuses on high performance, cost-conscious NoSQL design and seamless integration with AWS services.

You will define table structures, access patterns, and indexes, working with developers and data engineers to ensure robust, secure data architectures in a Sunnyvale-based environment.

Qualifications

  • Strong experience in AWS DynamoDB and NoSQL data modeling.
  • Expertise in partition key and sort key design.
  • Hands-on experience with GSI and LSI.
  • Understanding of single-table and multi-table design patterns.

Responsibilities

  • Design and implement logical and physical data models using Amazon DynamoDB.
  • Define DynamoDB table structures, partition keys, sort keys, and secondary indexes.
  • Design data models based on application access patterns and business requirements.
  • Implement efficient NoSQL database schemas for high-volume and low-latency applications.
  • Work with AWS services to build scalable and distributed data solutions.
  • Optimize DynamoDB performance, throughput, and cost.
  • Implement Global Secondary Indexes (GSI) and Local Secondary Indexes (LSI).
  • Handle data migration, data integration, and database optimization.
  • Ensure data consistency, availability, scalability, and security.
  • Collaborate with application developers, solution architects, and data engineers.

Skills

DynamoDB
NoSQL data modeling
GSI/LSI
DynamoDB Streams
TTL
AWS services basics
Query optimization

Tools

AWS DynamoDB
AWS Lambda
S3
API Gateway

Job description

Quantum Technologies. LLC is seeking an experienced AI/ML Data Modeler to design and optimize scalable data models in DynamoDB for cloud-native applications. The role focuses on high performance, cost-conscious NoSQL design and seamless integration with AWS services.

You will define table structures, access patterns, and indexes, working with developers and data engineers to ensure robust, secure data architectures in a Sunnyvale-based environment.

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