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This role is responsible for designing, developing, and optimizing enterprise-grade database systems. The engineer will lead initiatives around SQL and Azure-based solutions, ensuring scalability, reliability, and efficiency of mission-critical applications, while mentoring junior engineers and collaborating with cross-functional teams.
Job Responsibility:
Architect and maintain robust database solutions across SQL Server and Azure platforms
Design and optimize data models for transactional and analytical workloads
Develop, test, and maintain complex SQL queries, stored procedures, triggers, and functions
Lead performance tuning efforts including query optimization, indexing, and partitioning
Collaborate with solution architects and developers to align database design with business needs
Implement best practices for database security, backup, recovery, and disaster recovery
Demonstrate strong ownership and accountability for database platforms
Lead troubleshooting and resolution of complex database incidents and production issues
Provide on-call or escalation support as required
Drive root cause analysis (RCA) and implement preventive measures
Drive automation initiatives for deployment, monitoring, and maintenance
Provide technical leadership and mentorship to junior engineers and SQL developers
Stay ahead of emerging cloud-native database technologies and recommend adoption where beneficial
Requirements:
Minimum 5+ years of professional experience in database engineering and SQL development
Advanced expertise in SQL Server and Azure SQL Database
Strong knowledge of data modeling techniques (ER diagrams, normalization, dimensional modeling)
Proven experience in query tuning, indexing strategies, and performance optimization
Hands-on experience with SQL development (stored procedures, triggers, views, functions)
Experience with Azure services (Data Factory, Synapse, Cosmos DB)
Familiarity with NoSQL databases and hybrid architectures
Strong problem-solving, analytical, and communication skills
Ability to lead projects, mentor teams, and collaborate across functions
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
Nice to have:
Preferred certifications: Microsoft Certified: Data Engineer Associate
Leadership mindset with a proactive approach to guiding teams and initiatives
Curiosity & adaptability to explore new technologies and innovate solutions