Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.
CLOUD DATA ARCHITECT
The CMM Data Architect will work as part of an agile development team to build and support the modernization of enterprise-class software applications.
The successful candidate should be capable of architecting and developing cloud database infrastructure and support the migration of legacy systems to the cloud. The duties and assignments include translating high-level requirements into data storage solutions; creating PoCs and/or prototypes to evaluate various cloud database technologies, architecting and implementing cloud-based database solutions on various platforms; developing and supporting a migration plan from legacy on-premises database to multi-cloud/hybrid cloud platforms.
The Data Architect will lead the design and implementation of secure, scalable, and high-performing database architectures across cloud-native, hybrid, and multi-cloud environments in support of CMSO modernization initiatives. This role provides expert-level guidance for migrating legacy workloads to commercial cloud platforms and develops Architecture Design Documents that reflect best practices aligned with the Government’s selected Cloud Service Providers. The Data Architect will work closely with enterprise teams to shape database standards, assess return on investment, and recommend cost-effective, performance-optimized solutions.
The architect supports both strategic and operational activities, including configuring cloud databases, enabling diagnostics, optimizing performance, and implementing threat-driven security settings. Responsibilities also include monitoring database usage, addressing replication strategies, and advising on anticipated growth to inform resource planning.
Additional tasks include provisioning relational databases, managing server-level operations such as scaling, restoring, or deleting instances, and configuring geo-replication and monitoring metrics. Through this broad scope, the Data Architect ensures robust data management and supports CMSO’s efforts to build resilient, secure, and future-ready database infrastructure.
In addition, the Data Architect will execute the following responsibilities:
Continuously analyze, monitor and optimize database and database query performance to improve responsiveness, scalability and cost efficiency across the full service to meet the functional and non-functional requirements.
Implement automated performance tuning, query optimization, and indexing strategies. Provide regular performance assessments and recommendations for improvements.
Lead the design and implementation of multi-tenant, cloud-based data architectures, supporting both cloud and hybrid/on-premises solutions using distributed architectures. Accommodate a range of database technologies, including SQL, NoSQL, IaaS and PaaS, and emerging database paradigms (distributed SQL Multi-Modal SQL, Event-Driven or Streaming databases), based on workload requirements. Ensure logical and physical data isolation, tenant-level security, and resource allocation controls in multi-tenant environments. Design for potability and interoperability across cloud providers.
Implement comprehensive data lifecycle management, including automated archival retention and purging strategies as well as robust backup/restore solutions tailored for cloud ecosystems.
Ensure backup and archival processes are policy-driven, encrypted, and compliant with organizational and regulatory requirements.
Provide data migration services from on-premises legacy databases to case management cloud databases where required.
Minimize downtime and data loss through automated, repeatable and verifiable migration processes.
Ensure data integrity, confidentiality, and security throughout all phases of the database lifecycle, including migration, storage, and access.
Implement robust access controls, encryption (at rest and in transit), audit logging, and compliance reporting. Support data masking and anonymization.
Employ comprehensive observability practices including real-time logging, monitoring, alerting, and automated incident response for all database environments.
Integrate with enterprise monitoring and SIEM systems. Provide dashboards and regular reports on database health, performance, and incidents.
Maintain detailed version-controlled documentation of data architectures, data models, performance metrics, operational runbooks, and progress reports.
Implement explicit design and testing of DR and high availability strategies, including automated failover and regular DR drills.
Implement ongoing analysis and recommendations for database cost optimization, including right-sizing, reserved capacity, and serverless options where appropriate.
Ensure all database solutions comply with relevant data protection, privacy, and retention regulations.
Implement use of IaC for database provisioning, configuration, and management to ensure consistency, repeatability, and auditability.
Provide self-service, automated backup and restore mechanism, with policy-driven scheduling and retention.
Provide capability to manage data in multiple formats (e.g., object, tabular, etc.), ensuring secure handing and compliance.
Provide an automated and recurring (i.e., in regular intervals) backup of all images, code, and artifacts.
Automate scaling of databases through policy-driven triggers and continuous monitoring.
Automate intelligent data tiering policies for automatically migrating data based on access frequency, or age, for cost savings.
Ensure continuous backup validation for a period as specified by the Government.
REQUIREMENTS
QUALIFICATIONS
Communication and Organizational
Years of Experience
10 + years of related experience
* may vary based on technical training, certification(s), or degree
Certification
Travel Required
None
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