DBA Project Manager

Responsibilities

• Design and implement scalable data models, including advanced schema design, indexing, and sharding strategies for high-volume datasets
• NoSQL Data Design and implementation: Design flexible schemas, indexes, and aggregation pipelines in MongoDB to support high-speed, unstructured, and semi-structured application data
• Data Governance & Metadata: Manage data governance standards, metadata management, and data lineage for both event streams and historical data stores
• Performance Tuning: Optimize complex queries, manage the Aggregation Framework, and troubleshoot system bottlenecks
• Infrastructure Management: Maintain high availability through replica sets, perform database upgrades, and define backup and disaster recovery procedures
• Security & Compliance: Enforce data protection, manage roles and permissions, and ensure compliance with security standards (e.g., PII, PCI)
• Integration & Migration: Develop backend APIs (e.g., Node.js, Python, Java) and manage ETL/ELT processes or data migrations between SQL and NoSQL environments

Qualifications

• Core Expertise: 5 to 8+ years of experience of MongoDB features, BSON data structures, and the MongoDB Aggregation Framework
• Tools: Proficiency with MongoDB Atlas, Compass, and the MongoDB Shell
• Cloud Environments: Familiarity deploying and managing databases on cloud-native platforms like AWS, GCP, or Azure
• Programming Languages: Proficiency in backend languages such as Python, Java, or JavaScript
• Integration: Kafka: manage, support and integrate event-driven architecture, topics, schemas, and event payloads. Flink & Spark: manage, support and integrate for stateful stream processing and large-scale batch ETL pipelines.