Lead global teams in design and architecture discussions with partners, developers, and platform engineers
Implement scalable and secure database architectures for enterprise systems across multi-availability-zone, multi-region cloud-native platforms (AWS, and private cloud)
Optimize applications and databases to use the full capabilities and cost efficiencies of AWS cloud-native RDS & EMR platforms
Review, configure, and maintain globally distributed data platforms that are available and scalable
Collaborate with IT, DevOps, and application teams to ensure seamless integration with existing systems
Manage automated operations, deployments, patching, upgrades, and capacity planning through CI/CD pipelines and Infrastructure as Code (IaC) tools ensuring secure and scalable database operations across multi-cloud environments
Monitor, troubleshoot, and fine-tune database performance to ensure scalability across multi-cloud environments
Implement data protection strategies, including encryption and access controls
Support audit readiness and security reviews
Manage regular maintenance windows to ensure system uptime
Develop enterprise data models and enforce data standards, best practices, and governance frameworks to ensure data integrity and consistency
Requirements
Bachelor's degree in computer science, Information Systems, or a related field, or equivalent experience
7+ years of overall Enterprise Data Platform Engineering experience, with 5+ years focused on cloud-based open platform database architecture, design, and engineering
Demonstrated expertise in multi-cloud database architecture, design, implementation, and cross-platform migration, grounded in core principles and best practices
On AWS, expertise includes RDS Databases, Aurora, EMR, Serverless, HBase, Hive, Spark, Kafka, and Solr technologies
Experience with Terraform and DevOps automation tools with expertise in CI/CD pipelines and best practices with Terraform and Python skills
Familiarity with data governance and regulatory compliance frameworks (e.g., GDPR, HIPAA), along with security best practices
Experience with containerization and orchestration tools such as Docker and Kubernetes
Knowledge of observability and monitoring tools (e.g., Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, and Database Insights)
Experience with business continuity planning and high-availability architecture design
Tech Stack
AWS
Cloud
Docker
Grafana
HBase
Kafka
Kubernetes
Prometheus
Python
Spark
Splunk
Terraform
Benefits
Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays