We are seeking an exceptionally skilled and motivated Lead SQL Server Development & DBA-Level Engineer, to guide our team in building robust, scalable, and high-performance data solutions primarily within the Microsoft SQL Server ecosystem. The ideal candidate will combine deep technical expertise in SQL Server development and database administration, with significant proven experience in managing Very Large Databases (VLDBs), along with leadership abilities to drive innovation, mentor junior talent, and ensure the delivery of high-quality data products that drive critical business insights. The Lead SQL Server Development & DBA-Level Engineer, VP will be responsible for: Very Large Database (VLDB) Management: Managing, developing, and optimizing solutions for very large databases, specifically within SQL Server version 19 and above, ensuring high performance and reliability. Performance Optimization: Leading performance tuning efforts for SQL Server databases, including comprehensive query optimization, advanced indexing strategies, and overall database performance. Collaboration with DBA Team: Working closely with the dedicated DBA team to ensure adherence to best practices and operational excellence for VLDB environments. Data Loading & ETL Leadership: Overseeing and guiding robust data loading processes and ETL development, primarily utilizing Microsoft BI tools, to establish efficient data pipelines for large datasets. Mentoring other ETL developers in best practices. Data Architecture & Modeling: Applying advanced data modeling principles and driving data architecture decisions for data warehouses, ensuring data integrity, scalability, security, and optimal performance for VLDBs. Code Quality & Best Practices: Conducting rigorous code reviews for SQL (including stored procedures) to ensure quality, performance, and adherence to DBA best practices, particularly for large-scale operations. Database Security & Access Management: Maintaining and enhancing existing entitlement and permission models to ensure robust database security, including the implementation of database encryption methods such as Transparent Data Encryption (TDE). AI-Enhanced Development & Optimization: Leveraging AI tools to assist in SQL code refactoring, identifying performance bottlenecks, suggesting optimization strategies, and enhancing overall developer productivity. Mentorship: Serving as an advisor and coach to mid-level developers and analysts, including work allocation. Risk Assessment: Appropriately assessing risk in business decisions, ensuring compliance with laws, rules, and regulations, adhering to policy, applying ethical judgment, and escalating/managing control issues with transparency.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree