Enterprise Data Architect

R Systems; Sacramento (CA); On-site; USD 150,000 - 190,000; Part time

Job summary

R Systems is seeking an experienced Enterprise Data Architect to lead the design and modernization of scalable data platforms on AWS, with focus on NoSQL databases and high-volume environments. The role will drive data modeling, security, governance, and performance tuning while collaborating with engineering teams to deliver mission-critical analytics and financial reporting capabilities.

Candidates should have 8+ years of data architecture experience and hands-on work with MongoDB or

Qualifications

• 8+ years of experience in data architecture, database engineering, or distributed data platforms.
• Strong hands-on experience with MongoDB and/or Apache Cassandra.
• Proven experience deploying and managing NoSQL databases on AWS Cloud.
• Knowledge of CAP trade-offs, sharding, partitioning, replication, and indexing.
• Experience designing high-volume, high-throughput data platforms.

Responsibilities

• Lead architecture and design of data platforms on AWS.
• Design highly available, fault-tolerant, horizontally scalable solutions for high-throughput workloads.
• Architect AWS solutions using EC2, EKS, S3, IAM, VPC, CloudWatch, and related services.
• Define NoSQL data models, including schema design, partitioning, indexing, sharding, and replication.
• Design solutions supporting high-volume, historical, legacy, and multi-year data.
• Develop strategies for performance tuning, capacity planning, backup, disaster recovery, and data retention/archival.
• Support financial health, financial reporting, historical trend analysis, forecasting, and analytics.
• Lead modernization/migration from legacy or relational platforms to cloud/NoSQL architectures.
• Ensure data security, encryption, access control, compliance, and governance.
• Provide technical leadership, architecture reviews, standards, and guidance to engineering teams.

Skills

NoSQL databases

AWS Cloud

Distributed data platforms

High-volume data

Data modeling

Security governance

Technical leadership

Performance tuning

Education

Bachelor's or master's degree in CS/Engineering/IT

Tools

MongoDB

Apache Cassandra

AWS EC2

EKS

S3

VPC

IAM

CloudWatch

Job description

Job Type: Long term contract

Role Overview

We are seeking an experienced Enterprise Data Architect with strong expertise in NoSQL databases, AWS Cloud, distributed data platforms, and high-volume data environments. The role will lead the architecture and modernization of scalable, secure, high-performance data platforms supporting mission-critical applications and financial/business analytics.

Key Responsibilities

• Lead architecture and design of data platforms on AWS.
• Design highly available, fault-tolerant, horizontally scalable solutions for high-throughput, low-latency workloads.
• Architect AWS solutions using EC2, EKS, S3, IAM, VPC, CloudWatch, and related services.
• Define NoSQL data models, including schema design, partitioning, indexing, sharding, and replication.
• Design solutions supporting high-volume, historical, legacy, and multi-year data.
• Develop strategies for performance tuning, capacity planning, backup, disaster recovery, and data retention/archival.
• Support financial health, financial reporting, historical trend analysis, forecasting, and analytics.
• Lead modernization/migration from legacy or relational platforms to cloud/NoSQL architectures.
• Ensure data security, encryption, access control, compliance, and governance.
• Provide technical leadership, architecture reviews, standards, and guidance to engineering teams.

Minimum Qualifications (MQ)

• 8+ years of experience in data architecture, database engineering, or distributed data platforms.
• Strong hands-on experience with MongoDB and/or Apache Cassandra.
• Proven experience deploying and managing NoSQL databases on AWS Cloud.
• Strong understanding of NoSQL data modeling, CAP trade-offs, sharding, partitioning, replication, and indexing.
• Experience designing high-volume/high-throughput data platforms handling millions/billions of records.
• Experience with historical, legacy, and multi-year datasets.
• Experience with financial or business-critical data, including financial health/performance analytics.
• Strong knowledge of database performance, scalability, resiliency, HA, backup, and disaster recovery.
• Experience with AWS EC2, VPC, IAM, S3, CloudWatch; EKS is a plus.
• Bachelor's or master's degree in computer science, Engineering, IT, or related field.

Desired Qualifications (DQ)

• MongoDB Atlas on AWS or Amazon Keyspaces.
• Kubernetes/EKS and containerized database deployments.
• Kafka/Kinesis or event-driven architectures.
• Experience with Snowflake, Databricks, Redshift, or other analytical platforms.
• Experience with data governance, quality, lineage, and metadata management.
• Experience migrating legacy/relational systems while preserving multi-year historical data.
• AWS certifications such as Solutions Architect or Database Specialty.
• Experience in financial services, public sector, government, or other regulated environments.