Principal SQL Developer & Solutions Architect - Medicaid Data Warehouse

Principal SQL Developer & Solutions Architect - Medicaid Data Warehouse About the Role:We are seeking a Principal SQL Developer to provide technical leadership and deep expertise in the design, development, and optimization of enterprise database solutions. This is a top-level role within our government client's Medicaid Data Warehouse team, instrumental in architecting scalable, reliable, and high-performance data systems that support critical business applications and analytics. The ideal candidate will be a data expert capable of translating complex business requirements into robust technical solutions, mentoring junior developers, and driving data strategies across the organization. Essential Responsibilities: Database Architecture & Design: 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. Responsible for designing and gaining approval on data architecture decisions, data modeling approaches, design standards, development tools, and lifecycle practices. Performance Optimization: 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. ETL and Data Pipelines: 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. Technical Leadership & Mentorship: Provide technical guidance, perform code reviews, and mentor junior and mid-level developers on best practices for SQL development, data modeling, and database management. Collaboration & Strategy: 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. Data Governance & Security: 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). Troubleshooting & Problem Solving: Proactively monitor and troubleshoot the most complex database issues, providing high-level support and implementing permanent solutions to ensure minimal downtime and disruption. Documentation & Standards: Champion a culture of comprehensive documentation for database architectures, processes, and operational procedures to ensure knowledge sharing and maintainability. Lead the adoption or implementation of advanced technology or platforms. Act as an expert on the functionality or usage of specific systems, platforms, or technology products. Serve as a consultant to clients, guiding the efficient use or adoption of particular IT products or platforms. Create implementation, testing, and/or integration plans. Demonstrate expertise in a particular IT platform or service, allowing for maximum IT investment. Required Qualifications: Bachelor's degree in Information Technology or a related field, or equivalent experience. A Master's degree in CS, IT, or a quantitative data field of study is highly desired. Training or certification in a particular product or IT platform/service, as required. 6-10 years of experience leading advanced technology or service projects. 6-10 years of full system engineering lifecycle experience. 6-10 years of experience creating implementation/integration plans, test plans, and training materials. 6-10 years of hands-on experience in a specific product or IT platform. 8+ years of proven experience delivering high-quality, complex technology solutions in commercial and government organizations. 8+ years of experience delivering data analytics platforms and enterprise applications. 8+ years of experience working with SQL, SSRS, SSIS, SSAS, Azure Data Factory, Databricks, Python, DAX. 8+ years of senior-level understanding of health care management systems and working with senior executives. 8+ years of deep expertise in one or more major DBMS platforms (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL) and advanced T-SQL/PL-SQL programming. 8+ years of experience in data modeling (dimensional, star/snowflake schemas), ETL tools (SSIS, Informatica), and cloud-based data platforms (AWS RDS, Azure SQL). 8+ years of strong understanding of database architecture principles, high availability solutions (clustering, replication), and capacity planning. Preferred Qualifications: Certifications (e.g., Microsoft Certified: Azure Database Administrator Associate). Experience with Big Data technologies (Spark, Hadoop) and DevOps. Work Arrangement: OnsiteLocation: 441 4th St, NW Suite 900S, Washington DC 20001 Why Join Us:This is a pivotal role within a government client's Medicaid Data Warehouse team, offering the chance to architect and optimize high-performance data systems for critical business applications and analytics. You will leverage your deep technical expertise to lead significant projects, mentor other developers, and directly influence data strategies that impact public services. Job Types: Full-time, Contract Pay: $120.00 per hour Expected hours: 40 per week Benefits: Health insurance Experience: Leading advanced technology projects: 6 years (Required) Full system engineering lifecycle: 6 years (Required) Creating implementation/integration plans: 6 years (Required) Hands-on experience in specific product or IT platform: 6 years (Required) Delivering complex tech solutions in commercial/gov orgs: 8 years (Required) Delivering data analytics platforms & enterprise apps: 8 years (Required) Working with SQL, SSRS, SSIS, SSAS, Azure Data Factory: 8 years (Required) Healthcare management systems & senior executives: 5 years (Required) Deep expertise in major DBMS platforms (MS SQL, Oracle) : 8 years (Required) Advanced T-SQL/PL-SQL programming : 8 years (Required) Data modeling (dimensional, star/snowflake schemas): 8 years (Required) ETL tools (SSIS, Informatica) and cloud data platforms: 8 years (Required) Database architecture principles & high availability: 8 years (Required) License/Certification: U.S. Citizenship or a Green Card (Preferred) Ability to Commute: Washington, DC 20001 (Required) Work Location: In person