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).