Data Platform System Administrator

Worldwide | Aug. 26, 2026

Report as Closed

Company: Inkomoko

Type: Onsite

Employment: Contract

Description: ABOUT INKOMOKO Inkomoko supports entrepreneurs to grow their businesses in order to improve livelihoods, create jobs, and help communities thrive. In 2026, Inkomoko was listed by the Financial Times as the 5th fastest-growing company in Africa, supporting entrepreneurs across East and Central Africa to grow thriving businesses and build inclusive, resilient economies. Founded in 2012, Inkomoko has worked with more than 100,000 entrepreneurs, including thousands of refugee entrepreneurs. Inkomoko provides a combination of training, consulting, access to finance, and market-level systems change. We are the largest investor to refugee entrepreneurs in Africa. Inkomoko has 900+ staff in 50 offices across Chad, Ethiopia, Kenya, Rwanda, and South Sudan. Through Inkomoko’s 2030 strategic plan, we are adding 3 additional countries to serve more than 550,000 entrepreneurs and growing our $30M loan fund to impact 7M lives. INKOMOKO VALUES All staff at Inkomoko are connected to a shared set of organizational values: Purpose: be solutions-oriented, produce high-quality work, and be a global leader. Achievement : push yourself to reach beyond what you previously thought possible. Improvement: be humble, engage in continuous growth through open & accurate feedback Bravery: willing to take risks, create a safe space for others, be compassionate, and inclusive. We Eat Goat: we celebrate success and support each other in hard times. We do this work together in the spirit of turikumwe, tuko pamoja, abren nen, Kula na sawa, On est ensemble. Inkomoko is an affirmative action/equal opportunity employer. Refugees, women, and persons who reflect the diverse communities we serve are strongly encouraged to apply. 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.

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