Hybrid Cloud-Native Principal Database Architect

CAI Cox Automotive Corp Svcs., LLC; Village of North Hills (NY); Hybrid; USD 178,000 - 297,000; Full time

Benefits offered by this job

Hybrid work model

Incentive program

Job summary

Cox Automotive is seeking a Principal Database Administrator to lead database strategy, modernization, and cloud migration initiatives. You will manage on-premises systems, guide a phased transition to AWS, and collaborate with product teams to ensure scalable, secure, and highly available data platforms.

The role requires extensive experience across traditional RDBMS and cloud-native data platforms, with leadership responsibility for data architecture and performance optimizations.

Qualifications

• 10+ years in database administration or related roles.
• Experience with AWS cloud migration and on-prem to cloud modernization.
• Expertise in high-availability, disaster recovery, and performance tuning.

Responsibilities

• Define and drive database strategy and modernization across multiple product teams.
• Plan phased migration to AWS and cloud-native platforms.
• Lead complex migrations with minimal downtime and strong data integrity.
• Collaborate with software engineers and architects on data architecture decisions.

Skills

AWS RDS

SQL Server

Oracle

PostgreSQL

DynamoDB

Query tuning

Data modeling

Cloud migration

High availability

Security best practices

Education

Bachelor's degree in Computer Science or related field

Master's degree

Ph.D. (optional)

Tools

AWS RDS

Always On

GoldenGate

SQL Server

DynamoDB

PostgreSQL

Job description

Cox Automotive is seeking a Principal Database Administrator to lead database strategy, modernization, and cloud migration initiatives. You will manage on-premises systems, guide a phased transition to AWS, and collaborate with product teams to ensure scalable, secure, and highly available data platforms.

The role requires extensive experience across traditional RDBMS and cloud-native data platforms, with leadership responsibility for data architecture and performance optimizations.