DevOps Data Platform Engineer

Responsibilities

• Administer, support, and optimize PostgreSQL database platforms across development, test, and production environments.
• Manage cloud-native database deployments using Kubernetes, CloudNativePG (CNPG), and Helm.
• Design, implement, and support high-availability, disaster recovery, backup, and recovery solutions.
• Monitor database health, performance, and capacity to ensure reliability and scalability.
• Perform performance tuning, query optimization, troubleshooting, and root cause analysis.
• Support modern data architecture initiatives, including distributed databases, Data Lakehouse platforms, and Change Data Capture (CDC) solutions.
• Automate database provisioning, maintenance, monitoring, and operational workflows.
• Develop and maintain operational runbooks, support procedures, and database standards.
• Partner with Data Engineering, Platform Engineering, DevOps, and Development teams to support enterprise data initiatives.
• Participate in production support, incident response, and continuous improvement efforts.

Required Skills

• PostgreSQL administration, performance tuning, and troubleshooting.
• Linux systems administration.
• Kubernetes operations, CloudNativePG (CNPG), and Helm deployment management.
• High Availability (HA), Disaster Recovery (DR), backup, and recovery strategies.
• Database monitoring, capacity planning, and production support.
• Distributed database technologies and Data Lakehouse platforms.
• Apache Iceberg and Trino.
• Change Data Capture (CDC) technologies.
• Infrastructure automation and scripting.
• Root Cause Analysis (RCA), problem resolution, and operational documentation.

Nice to Have

• ClickHouse administration and performance optimization.
• Experience operating large-scale analytical, reporting, or data warehouse environments.
• Knowledge of modern lakehouse ecosystems and open-source data platforms.
• Experience with Infrastructure as Code tools such as Terraform or Ansible.
• Familiarity with cloud platforms including Azure, AWS, or OpenStack.
• Experience supporting highly available, mission-critical SaaS environments.
• Understanding of data governance, security, and compliance requirements.
• Experience with observability platforms such as Grafana, Prometheus, and OpenSearch.