Data Platform Engineer

Key Responsibilities

Database Operations & Reliability

• Administer, maintain, and optimize enterprise database environments to ensure high availability, performance, and stability
• Monitor database health, troubleshoot issues, and resolve incidents within defined SLAs
• Perform root cause analysis for database incidents and implement long-term preventive solutions
• Participate in on-call rotations and support incident response activities

Database Platforms & Lifecycle Management

• Manage database platforms such as DB2 z/OS, Oracle, SQL Server, PostgreSQL, and Netezza across development, test, and production environments
• Perform database installations, configurations, patching, upgrades, and environment refreshes
• Support data migrations and application releases with minimal disruption

Performance, Scalability & Availability

• Proactively tune database performance by optimizing queries, indexes, and configurations
• Support capacity planning and scalability initiatives to meet growing business demands
• Implement and maintain backup, recovery, high-availability, and disaster recovery solutions (replication, clustering, failover)

Security, Compliance & Standards

• Ensure data integrity, security, and compliance with enterprise and regulatory standards
• Enforce database security best practices including access controls, encryption, auditing, and monitoring
• Maintain accurate documentation of database configurations, processes, and operational procedures

Collaboration & Automation

• Partner with application, engineering, and product teams to review database designs and ensure efficient data models
• Automate routine DBA and operational tasks using scripting languages such as Python, Shell, or PowerShell
• Support Agile development practices and continuous delivery pipelines

Data Engineering & ETL Responsibilities

• Design, build, and maintain automated ETL pipelines to move data from multiple sources into centralized data warehouses
• Develop and optimize complex SQL queries, stored procedures, and triggers
• Perform data transformation, cleansing, and validation to ensure high-quality, reliable datasets
• Monitor ETL jobs, troubleshoot failures, and ensure consistent data availability for reporting and analytics

Education & Experience

• Up to 6 years of experience in database administration or equivalent professional experience
• Hands-on experience administering one or more enterprise database platforms
• Strong background in backup/recovery, high availability, disaster recovery, and performance tuning
• Experience with scripting and automation
• Familiarity with distributed systems, multi-tier architectures, and Agile methodologies
• Bachelor’s degree in Computer Science, Engineering, or a related field required; advanced degree preferred

Preferred Qualifications

• Experience with database monitoring and observability tools
• Knowledge of cloud database platforms such as AWS RDS, Azure SQL, or similar
• Understanding of data modeling and database design principles
• Exposure to NoSQL databases and big data platforms