We are looking for an experienced Database Administrator / Engineer to help us support and evolve our current data landscape — while actively preparing for the future. Our existing stack is centered around Microsoft SQL Server, with dozens of active databases powering critical systems. We also use PostgreSQL, and MongoDB/MySQL are emerging on the horizon.

This role is essential as we move toward a modern architecture based on microservices, object storage (S3), lakehouse platforms, and AI/ML-enabled analytics. While deep cloud experience is welcome, our current focus is on solid engineering, automation, performance, replication, and resilience.

Key Responsibilities

• Administer and optimize a large fleet of MS SQL Server instances, ensuring performance, availability, and security.
• Implement and manage replication, mirroring, and backup strategies.
• Collaborate with development, analytics, and infrastructure teams to deliver scalable data solutions.
• Support and tune PostgreSQL databases, with future involvement in MongoDB/MySQL deployments.
• Participate in architecture design for data services in a microservice environment.
• Help guide the company’s transition to cloud-native data architectures, including Data Lake / Lakehouse.
• Contribute to automation efforts (scripts, pipelines, provisioning, etc.).
• Monitor and troubleshoot production issues and perform root cause analysis (storage monitoring, network monitoring, sql profling etc.)
• Maintain and evolve database documentation, standards, and specifications with Confluence, draw.io, MD, etc.

Required Skills & Experience

• 5+ years of hands-on experience with database administration and engineering.
• Expert-level knowledge of MS SQL Server (2016 and later), including indexing, query tuning, procedures, replication/mirroring, AlwaysOn.
• Solid experience with PostgreSQL at the administration and development level.
• Strong understanding of database architecture, performance, and scalability best practices.
• Familiarity with cloud-native storage concepts (S3, object storage), and data lakes.
• Experience with ETL/ELT processes and data migrations.
• Working knowledge of CI/CD, Git-based workflows, and scripting.
• Effective collaboration and communication abilities.
• Clean and structured technical documentation habits.
• Language skills: Fluency in Azerbaijani, English (B2), Russian (B1).

Preferred / Nice to Have

• Familiarity with MySQL.
• Exposure to MongoDB, or other NoSQL/NewSQL platforms/technologies.
• Experience with Azure SQL or cloud-based DB environments.
• Experience with AWS RDS, Aurora, DMS, or equivalent Azure services.
• Familiarity with BI tools — we’re currently migrating from QlikView to Qlik Sense, with Power BI (and possibly Tableau) on the roadmap.
• Experience supporting data needs in insurance, finance, or other regulated domains.
• Participation in cloud/data modernization projects (e.g. building lakehouses, integrating with AI/ML pipelines).

Why Join Us?

• We’re a leading insurance company undergoing a full-scale digital transformation. Our systems are rapidly evolving — from legacy to microservices, from rigid DBs to flexible, cloud-ready architectures. You’ll be at the heart of that shift. You’ll get to shape things, not just maintain them. You’ll join a small, agile team that values clean code, practical solutions, and meaningful impact.

If this sounds like your kind of challenge — let’s talk.

Send your resume or just reach out directly.

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