Database Architect

Role Summary
The Database Architect is a senior-level position responsible for designing, implementing, and optimizing enterprise-grade database environments across both on-premises and cloud infrastructures. This role leads modernization efforts by transitioning legacy SQL systems and establishing data architecture standards. The successful candidate will collaborate with cross-functional teams to deliver secure, scalable, and high-performance data solutions aligned with organizational goals.

Responsibilities

• Design, develop, evaluate, and implement database management systems, including data modeling, relational architecture, metadata structures, and configuration management.
• Define and enforce standards, controls, documentation, and operational procedures for database environments.
• Advise development teams and business stakeholders on data-driven solutions, DBMS capabilities, and performance tuning strategies.
• Ensure efficient, secure, and cost-effective data availability by optimizing queries, indexes, and server configurations.
• Implement databases with a focus on access methods, batch processing, validation, security, documentation, and statistical analysis.
• Utilize data mapping, mining, and transformation tools to develop robust data pipelines.
• Determine optimal storage structures and capacity planning to meet organizational demands.
• Prepare system requirements, source analysis, and process design throughout project implementation.
• Architect and manage data across cloud platforms such as AWS, Azure, GCP, and on-premises environments.
• Lead legacy to cloud migration initiatives and develop modernization roadmaps to enhance data architecture.
• Design and optimize data ingestion, transformation, and integration workflows in collaboration with development, DevOps, and data engineering teams.
• Provide technical guidance and leadership to junior engineers and analysts to ensure best practices in database architecture.

Qualifications

• Extensive experience with enterprise DBMS platforms such as SQL Server, PostgreSQL, Oracle, or similar systems.
• Advanced SQL skills including query design, optimization, stored procedures, and indexing strategies.
• Strong data modeling expertise encompassing ER modeling, normalization, schema design, and data warehouse architecture.
• Proven hybrid cloud experience managing data across on-premises systems and cloud platforms like AWS, Azure, or GCP.
• Knowledge of NoSQL database solutions and architecting NoSQL data stores.
• Proficiency with ETL/ELT tools such as SSIS, Informatica, Azure Data Factory, Glue, or equivalent.
• Solid understanding of security, access controls, encryption, compliance, and auditability standards.
• Performance engineering skills including query tuning, resource optimization, and workload analysis.
• Experience with secure data integration between legacy systems and cloud repositories.
• Ability to develop enterprise-wide data architecture roadmaps and modernization strategies.
• This position requires eligibility for a U.S. Government security clearance. In accordance with federal law, U.S. citizenship is required (ability to obtain and maintain a T5 federal adjudicated security clearance).
• Minimum of 8 years of experience with a BS/BA, 6 years with an MS/MA, or 3 years with a PhD.
• Excellent analytical, troubleshooting, and communication skills.
• Strong collaboration skills across technical and non-technical teams, with a focus on clear documentation and effective communication in fast-paced environments.

Publishing Pay Range: $60.00 – $65.00 hourly.