Key Responsibilities:
• Work with the Lead Architect to design and implement enterprise data architecture, including conceptual, logical, and physical data models.
• Guide and mentor Database Administrators and Developers in areas such as database optimization, security protocols, and troubleshooting.
• Assist in leading data migration projects from on-premises systems (SQL Server) to modern platforms such as Azure, Vantage, and Dataverse.
• Develop and maintain complex SQL functions, stored procedures, and queries for applications and business intelligence reporting.
• Optimize database performance, including indexing, querying, and normalization.
• Architect and manage ETL processes using tools like Azure Data Factory, and equivalent Microsoft stack technologies.
• Architect data models and data flows optimized for business intelligence reporting and dashboarding.
• Ensure database integrity, security, and compliance with industry standards (e.g., DISA, DoW).
• Collaborate with stakeholders to gather requirements and deliver solutions that align with business objectives.
• Maintain documentation, including schematics, configurations, performance metrics, user manuals, SOPs, and change management requests.
• Implement and maintain security provisions to guard against unauthorized updates, copying, or destruction of databases.
• Support risk management processes, including security technical implementation guides and plans of action and milestones.
• Act as a final escalation point for complex database incidents, providing expert analysis and resolution strategies
• Assign metadata tags, develop search strategies, and maintain a metadata library for data analytics.
Required Skills and Qualifications:
• BS in Computer Science and/or Computer Engineering or equivalent.
• At least 7 years of experience in database architecture design and development.
• Expertise in SQL development, including troubleshooting, debugging, and performance optimization.
• Strong knowledge of relational database management systems, indexing, querying, and normalization.
• Familiarity with integration patterns, SOA, REST, SOAP, and Enterprise Service Bus.
• Knowledge of database schemas such as star schemas, snowflake schemas, and other data modeling techniques.
• Have, or capable of obtaining within 6 months, Security CE, and a government approved computing education certification consistent with primary skills.
• Excellent communication, leadership, and project management skills.
• Ability to collaborate effectively with the Lead Architect, stakeholders, and cross-functional teams.
Preferred Qualifications and Certifications:
• Experience with cybersecurity data analysis and reporting.
• Knowledge of Agile methodologies and CI/CD pipelines.
• Familiarity with Vantage, Advana, or similar analytical engines.
• Completion of Oracle Database SQL Exam (1Z0-071) is a plus.
• Certifications such as:
o Google Professional Data Engineer
o Certified Analytics Professional (CAP)
o Certified Data Management Professional (CDMP)
o The Open Group Architecture Framework (TOGAF)