The Client is looking for a Solutions Architect/Principal SQL Developer to provide technical leadership and expertise in the design, development, and optimization of their enterprise database solutions, architecting scalable, reliable, and high-performance data systems.
Requirements
- 6-10 yrs. Leading Advanced Technology Projects or Service Projects
- 6-10 yrs. Full System Engineering Lifecycle
- 6-10 yrs. Creating Implementation/Integration Plans, Test Plans, and Training Materials
- 6-10 yrs. Hands-on experience in Specific Product or IT Platform
- Delivering data analytics platforms and enterprise applications; working with SQL, SSRS, SSIS, SSAS, Azure Data Factory, Databricks, Python, DAX
- Deep expertise in one or more major DBMS platforms (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL) and advanced T-SQL/PL-SQL programming.
- Experience data modeling (dimensional, star/snowflake schemas), ETL tools (SSIS, Informatica), and cloud-based data platforms (AWS RDS, Azure SQL)
Responsibilities
- Lead the design and implementation of complex, scalable database architectures (relational and potentially NoSQL), including schemas, tables, views, and indexing strategies, ensuring data integrity and consistency.
- Serve as the primary expert for performance tuning and optimization of all SQL queries, stored procedures, and database configurations, utilizing advanced tools (e.g., SQL Server Profiler) to identify and resolve bottlenecks in high-volume environments.
- Architect, develop, and maintain robust ETL/ELT processes and data pipelines to facilitate data migration, transformation, and integration from various sources into data warehouses and other data stores.
- Provide technical guidance, perform code reviews, and mentor junior and mid-level developers on best practices for SQL development, data modeling, and database management.
- Define and enforce database security measures, backup/recovery, and disaster recovery strategies to safeguard critical data and ensure compliance with industry regulations (e.g., GDPR, HIPAA).
- Proactively monitor and troubleshoot the most complex database issues, providing high-level support and implementing permanent solutions to ensure minimal downtime and disruption.
- Champion a culture of comprehensive documentation for database architectures, processes, and operational procedures to ensure knowledge sharing and maintainability.
Other
- Responsible for designing and gaining approval on data architecture decisions, data modeling approaches, design standards, development tools and lifecycle practices.
- Work closely with senior management, data scientists, application developers, and business analysts to understand data needs, align database strategy with organizational goals, and influence the overall technology roadmap.
- Leads the adoption or implementation of an advanced technology or platform.
- Expert on the functionality or usage of a particular system, platform, or technology product.
- Serves as a consultant to clients, guiding the efficient use or adoption of a particular IT product or platform.
