Data Platform System Administrator

ABOUT THE ROLE & RESPONSIBILITIES

We are seeking a highly skilled Data Platform System Administrator to manage, optimize, and evolve our internal information management systems across relational, NoSQL, OLAP, and vector databases. This role goes beyond traditional database administration - supporting data reliability, secure architectures, event-driven pipelines, and AI-powered workflows.

The ideal candidate is forward-thinking, detail-oriented, and capable of enabling clean, scalable, and secure data ecosystems that power analytics, operations, and agentic automation across the organization.

Key Responsibilities

1. Database, Storage & Vector Systems Administration

• Administer, maintain, and optimize relational databases (MySQL, PostgreSQL).
• Manage vector databases (pgvector, Milvus, Pinecone) for embedding-based search.
• Administer and optimize data warehouse platforms and OLAP systems (e.g., ClickHouse) supporting hybrid analytical workloads.
• Administer NoSQL systems such as MongoDB, Elasticsearch, Redis.
• Ensure proper indexing, normalization, and data modeling.
• Execute backups, recovery testing, schema maintenance, and performance tuning.
• Operate several database paradigms simultaneously (polyglot persistence).
• Write and maintain infrastructure as code using Terraform best practices.

2. Data Flow, Integrations & Pipelines

• Ensure clean, reliable data pipelines for BI tools, analytics, and agentic systems.
• Support data warehouse architecture and ETL/ELT processes feeding BI, analytics, and reporting layers.
• Support integration efforts by ensuring proper data availability and quality.
• Implement event-driven architectures (Kafka, Pulsar, CDC).
• Maintain semantic layers, metadata catalogs, data dictionaries, and embedding pipelines.
• Guarantee data consistency, quality, and structuring across all storage environments.

3. System Reliability, Monitoring & Observability

• Monitor system health, performance, uptime, and data flow.
• Implement observability for databases, pipelines, and agentic workflows.
• Conduct audits, performance reviews, and capacity planning.
• Troubleshoot incidents, perform root-cause analysis, and implement corrective actions.

4. Security, Access Control & Compliance

• Manage roles, permissions, RBAC/ABAC, and secure system access.
• Ensure compliance with data security, privacy, and auditability requirements.
• Maintain explainability and traceability of agentic and automated actions.
• Apply best practices for backups, encryption, and data lifecycle protection.

5. Automation, Infrastructure & DevOps Support

• Develop scripts for automation (Bash, Python, PowerShell).
• Support IaC approaches using Terraform and Ansible.
• Assist in container deployment workflows (Docker, Kubernetes).
• Provide configuration-level support for ExtJS or Django-based platforms.

6. Collaboration & Documentation

• Work closely with engineering, data, and business teams.
• Maintain documentation of schemas, workflows, contracts, and governance.
• Provide knowledge support and system enablement to internal teams.