Develop, implement, and enforce data governance policies and standards to ensure data integrity, security, and compliance.
Create governance mechanisms to prioritize and approve data-focused projects, including decision workflows, escalation paths, and oversight forums (e.g., Project Review Board).
Build practical governance artifacts: project tracking, approval processes, a data project management framework, standardized templates, and documentation/version control practices.
Deliver training and documentation on data management best practices, pipelines, orchestration tools, and platform integrations to improve stakeholder self-sufficiency and maintainability.
Prioritize, manage, and deliver data projects through effective resource and risk management.
Develop capacity-planning approaches and workflow mechanisms for requesting/allocating/reallocating resources.
Define architecture principles and guidelines to support hybrid, on-prem, and multi-cloud environments; perform current-state assessment and gap analysis.
Design modular, layered data architectures (e.g., data lakes/warehouses/marts) and build pipeline frameworks supporting both batch and real-time ingestion.
Map data flows across systems/APIs/clouds to identify risks and inefficiencies; implement automated data classification by sensitivity/criticality/compliance requirements.
Develop and implement data pipelines that integrate data from IT systems, applications, and devices; automate ingestion and processing workflows.
Ensure seamless integration with key IT tools (e.g., CMDB, ticketing, monitoring, cloud platforms) and support secure, governed API/data-sharing environments.
Implement robust encryption protocols and compliance processes across cloud/on-prem/hybrid environments, including policy-based access restrictions tied to data sensitivity and clearance requirements.
Establish continuous auditing/monitoring for data usage, access violations, and compliance adherence; support compliance reporting and validation (e.g., FISMA, NIST, GDPR, HIPAA as applicable).

Requirements

15-20 years enterprise/cloud architecture; Zero Trust, SaaS-first, IAM, DevSecOps/IaC; TOGAF and/or cloud architect certification preferred.
AND 5+ years of federal enterprise architecture
Experience architecting and delivering data platforms/pipelines and analytics solutions (batch + real-time).
Experience implementing data governance standards, documentation, and stakeholder training.
Strong background in data architecture, data flows/integration, and data quality controls.
Demonstrated ability to embed security and compliance into data design (encryption, access controls, auditing/monitoring, compliance reporting).

Benefits

Medical, dental, and vision insurance
401(k)
Generous PTO
Company-paid life and disability insurance
Flexible Spending Accounts (FSA)
Employee Assistance Program (EAP)
Tuition Assistance & Professional Development Program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data governancedata architecturedata pipelinesdata integrationdata quality controlsencryption protocolscompliance processesbatch processingreal-time processingcapacity planning

Soft Skills

resource managementrisk managementstakeholder trainingdocumentationproject management

Certifications

TOGAFcloud architect certificationDevSecOpsIAM