Data Architect (MLOps + DevOps Focus)
- Industry Other
- Category Architect/Interior Designing
- Location Banepa, Nepal
- Salary Nrs. Monthly
- Desired Candidate Both(Female, Male)
- Expiry date Feb 22, 2026 (Expired)
Job Description
Experience: Minimum 5 Years
Location: Banepa, Kavre (Hybrid)
Salary: Negotiable
Role Overview
Kyra Works Pvt. Ltd. is looking for an experienced Data Architect / Senior Data Engineer to join our Data Team. This role focuses on designing, optimising, and operating scalable data platforms to support analytics, machine learning, and SaaS applications. You will be responsible for database architecture, schema design, performance tuning, and distributed data systems while working closely with MLOps and DevOps teams to ensure reliable deployment and operations.
Key Responsibilities
- Design and own database schemas, data models, and relationships across systems
- Create and maintain indexes, partitions, and constraints for optimal performance
- Perform database tuning, query optimization, and performance troubleshooting
- Implement and manage sharding and distributed databases.
- Build and maintain reliable data pipelines and architectures
- Support ML workloads by managing data versioning, access patterns, and performance
- Implement CI/CD pipelines for database, data, and ML workflows
- Collaborate with Data Scientists, Backend Engineers, and Platform teams
- Automate infrastructure and database operations using IaC and DevOps best practices
- Ensure data reliability, availability, security, and governance
- Monitor databases and data platforms, handling capacity planning and scaling
- Maintain technical documentation and operational runbooks
Requirements
- 5 years of experience in Data Engineering, Data Architecture, or Platform Engineering
- Strong experience in database design and schema architecture
- Hands-on expertise with PostgreSQL, including Citus
- Experience with database sharding, partitioning, and indexing strategies
- Proven skills in database performance tuning and query optimization
- Strong programming and scripting skills in Python
- Experience with cloud platforms (AWS preferred)
- Solid understanding of distributed systems
- Experience with Terraform,Docker and Kubernetes
- Familiarity with CI/CD pipelines, monitoring, and logging tools
- Experience working closely with MLOps and DevOps teams
Nice to Have
- Experience with PostgreSQL Citus and Amazon Aurora.
- Hands-on experience with AWS data services
- Experience with DynamoDB or other NoSQL databases
- Exposure to database sharding and multi-tenant architectures
- Experience with big data technologies
- Prior experience in AI/ML or SaaS product environments
Application form link: https://forms.gle/A4SNeN12tC9p6rV59