Design, operate, and optimize global, multi-region database architectures across AWS and Azure.
Architect and manage relational, NoSQL, and document databases including Snowflake, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and MongoDB.
Lead hands-on database migrations across cloud platforms (AWS ↔ Azure), legacy systems, and global regions.
Define and implement indexing strategies, query optimization techniques, and scaling patterns for large datasets and real-time workloads.
Tune databases for high availability, low latency, and cost efficiency at enterprise scale.
Support and optimize data ingestion and pipeline workflows built with AWS Glue, Step Functions, Lambda, ECS, and Azure Data Factory.
Partner with Data Engineering teams on streaming and CDC patterns using Kafka, Kinesis, or AWS DMS.
Develop and maintain secure API-based integrations and database connectivity patterns.
Implement database security best practices including IAM, secrets management, SSO, encryption at rest and in transit, and access controls.
Define and maintain backup and disaster recovery strategies including RTO/RPO planning and point-in-time recovery (PITR).
Implement robust observability for database systems using CloudWatch, Azure Monitor, Datadog, or similar tools.
Partner with Engineering, Analytics, Product, DevOps, and Security teams to deliver reliable, scalable data solutions.
Communicate complex database and architectural concepts clearly to both technical and non-technical stakeholders.
Influence engineering standards and best practices through technical leadership and collaboration.
Mentor engineers through design reviews, code reviews, and hands-on guidance.

Requirements

8+ years of professional experience as a Database Engineer, Data Engineer, Platform Engineer, or similar role.
Deep hands-on expertise with SQL and strong proficiency with Python for automation and tooling.
Extensive experience designing and operating databases on AWS (DynamoDB, DocumentDB, RDS/PostgreSQL, EC2, ECS).
Production experience with Azure database and data services (Cosmos DB, PostgreSQL, Azure Monitor).
Strong understanding of distributed systems concepts including replication, partitioning, consistency, and latency.
Proven experience designing global, multi-region database systems with data residency and compliance considerations.
Demonstrated expertise in query tuning, indexing strategies, capacity planning, and cost optimization.
Experience implementing monitoring, alerting, and observability for production database systems.
Strong communication skills and ability to collaborate effectively across teams.
Self-directed, analytical mindset with a focus on long-term system health and reliability.

Benefits

90% healthcare premiums company covered
HSA company contribution
401K match at 4% with immediate vesting
Flexible PTO (typically 3 to 4 weeks a year)
10 paid holidays
Monthly contributions for life activities & wellness
Access to LinkedIn learning with monthly dedicated time to explore

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondatabase migrationquery optimizationindexing strategiesdatabase securitybackup and disaster recoveryobservabilitydata ingestionCDC patterns

Soft Skills

communicationcollaborationtechnical leadershipmentoringanalytical mindsetinfluenceself-directed