Database Architect
Full Time • Fully Remote - US
Benefits:
- 401(k) matching
- Competitive salary
- Health insurance
- Paid time off
About this Role:
Imagineeer is seeking an experienced Database Architect to support the Department of Health and Human Services (DHHS), Office of the Chief Information Officer (OCIO) in designing, implementing, and optimizing enterprise database environments supporting the Human Capital Management (HCM) platform.
The Database Architect will define database architecture, data storage strategies, schema standards, and performance optimization practices for mission-critical HRIT applications. This role ensures databases are secure, scalable, compliant with federal standards, and capable of supporting enterprise integrations, reporting, and high-volume transactions across the HCM ecosystem.
Key Responsibilities:
- Design and maintain enterprise database architecture supporting HRIT and HCM enterprise systems.
- Develop conceptual, logical, and physical database models aligned with enterprise architecture and data standards.
- Define and enforce database design standards, naming conventions, and schema governance practices.
- Architect scalable and high-performance database platforms capable of supporting enterprise HR operations.
- Design strategies for database indexing, partitioning, query optimization, and workload management.
- Architect high availability and fault-tolerant database environments.
- Develop backup, recovery, replication, and disaster recovery strategies for mission-critical systems.
- Monitor and optimize database performance to support high-volume transactional workloads.
- Architect and support data integration strategies across enterprise systems, APIs, and service platforms.
- Collaborate with development teams to ensure applications follow database architecture and performance best practices.
- Support data migration efforts, including transformation, validation, and testing strategies.
- Design database solutions that enable enterprise reporting, analytics, and operational data exchange.
- Implement database security architectures aligned with federal cybersecurity requirements.
- Ensure compliance with NIST security standards, federal records management policies, and accessibility requirements (Section 508).
- Define data protection mechanisms including encryption, role-based access control, and auditing capabilities.
- Participate in architecture reviews, code reviews, and system design discussions.
Qualifications and Skills:
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
- 8+ years of experience in database architecture, database engineering, or enterprise data platform design.
- Strong expertise in relational database design and SQL development.
- Experience supporting enterprise systems within federal government environments or comparable large-scale organizations.
- Demonstrated experience designing secure, scalable, and high-availability database environments.
- Eligible to obtain and maintain a Public Trust clearance.
- Advanced knowledge of relational database platforms such as: SQL Server, PostgreSQL, MySQL
- Experience with cloud-based database platforms, including: AWS RDS / Aurora, Azure SQL Database, Cloud-native database services.
- Expertise in Database schema design, data modeling and normalization, Query tuning and indexing strategies, database performance optimization, data replication and clustering, backup and disaster recovery planning.
- Familiarity with ETL and data integration tools, API-based data exchange, database monitoring and observability tools.
Desired Skills and Competencies:
- Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC).
- Knowledge of federal enterprise architecture frameworks and modernization initiatives.
- Experience implementing enterprise data warehouses, operational data stores, or data lakes.
- Experience supporting large-scale enterprise system migrations or modernization initiatives.
- Certifications such as: CDMP, AWS Data Analytics, Azure Data Engineer, DAMA
- Experience with USA Staffing
Equal Opportunity Employer:
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.
This is a remote position.
Compensation: $150,000.00 - $160,000.00 per year
About Us
Our Approach
We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.
We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.
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