SQL Database Technical Lead
Description
Job Title : SQL Database Tech Lead
Exp : 7-15 Years
Location : Hyderabad
Work Mode : Office
Job Description :
REQUIRED QUALIFICATIONS :
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
- 7-10 years of database development experience, with at least 2 years in a technical lead or senior architect role
- Expert-level proficiency in T-SQL / PL-SQL - advanced stored procedures, dynamic SQL, CLR, and performance engineering
- Proven experience designing and delivering enterprise-scale database solutions on SQL Server, PostgreSQL, or equivalent
- Deep hands-on experience with cloud databases - Azure SQL, Azure Synapse, Snowflake, or AWS Redshift
- Strong expertise in data modelling - relational, dimensional (star/snowflake schema), and SCD design patterns
- Advanced query optimization skills - execution plans, statistics, index design, partitioning, and columnstore indexes
- Demonstrated experience leading and mentoring database development teams
- Strong background in database CI/CD - DACPAC, Flyway, Liquibase, or equivalent schema migration tools
- Excellent problem-solving, communication, and stakeholder management skills
PREFERRED QUALIFICATIONS :
- Cloud certification at associate level or above (Azure Database, AWS Database, or GCP Data)
- Experience with Azure Data Factory, SSIS, or equivalent ETL platforms at enterprise scale
- Hands-on experience with Databricks SQL, Delta Lake, or Lakehouse architectures
- Familiarity with NoSQL databases - Cosmos DB, MongoDB, or Cassandra
- Knowledge of data governance, observability, and data lineage tools
- Experience with Power BI data modelling, DAX optimisation, and report layer design
- Exposure to real-time and streaming database patterns - CDC, event sourcing, or Kafka integration
Skills
- AWS
- Azure
- Azure Data Factory
- Azure Synapse
- Cassandra
- CI/CD
- Cloud
- Cosmos Db
- Data Governance
- Data Lineage
- Data Modeling
- Databricks
- Delta Lake
- Design Patterns
- ETL
- GCP
- Kafka
- Lakehouse
- Liquibase
- MongoDB
- NoSQL
- Observability
- PostgreSQL
- Power BI
- Redshift
- Snowflake
- SQL
- SQL Server
- SSIS
- Stakeholder Management
- Statistics