Overview
Snowflake Administrator Jobs in Addis Ababa, Ethiopia at MMCY
Title: Snowflake Administrator
Company: MMCY
Location: Addis Ababa, Ethiopia
Job Summary
The Snowflake Admin / Architect is responsible for designing, administering, and optimizing the Snowflake Data Cloud platform to support AI-driven data solutions. The role focuses on leveraging Snowflake AI to build large language model (LLM) capabilities for data processing while architecting secure and scalable integrations across multiple external data sources. In addition to Snowflake administration, the role includes DevOps responsibilities such as CI/CD automation, infrastructure support, monitoring, and deployment optimization to ensure reliable, production-ready data platforms.
Key Responsibilities
- Design, configure, and administer the Snowflake Data Cloud platform.
- Implement Snowflake AI capabilities to support LLM development for data processing.
- Architect and optimize data pipelines for ingesting, transforming, and integrating external data sources.
- Manage Snowflake warehouses, roles, permissions, security policies, and performance tuning.
- Build and maintain CI/CD pipelines for Snowflake deployments and data workflows.
- Support infrastructure automation and environment management across cloud platforms.
- Monitor Snowflake workloads, pipelines, and cloud resources to ensure reliability and performance.
- Implement logging, alerting, and operational monitoring for data platforms.
- Ensure data quality, governance, security, and compliance across all solutions.
- Collaborate with data scientists, ML engineers, DevOps teams, and business stakeholders to deliver scalable AI solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Proven experience as a Snowflake Administrator and/or Architect.
- Strong knowledge of Snowflake features, including warehouses, roles, resource monitors, data sharing, and Snowpipe.
- Experience with Snowflake AI, AI/ML integrations, or similar machine learning pipelines.
- Strong proficiency in SQL and working knowledge of Python or other scripting languages.
- Experience with ETL/ELT tools and data integration frameworks.
- Hands-on experience with CI/CD pipelines, deployment automation, and DevOps practices.
- Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
- Familiarity with infrastructure monitoring, logging, and performance optimization.
- Strong understanding of data governance, security, and compliance best practices.
