Cloud Data Architect

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Database Architecture, Database Environments, Database Technologies, Data Management, Data Storage

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

No

Job Description:

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, a