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TSSCI Sr. Data Architect III

Insight Global

Vienna, VAJobPosted 2mo ago

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At a glance

Compensation
No compensation found
Location
Vienna, VA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

TS/SCI clearance

Job overview

Insight Global is hiring a TSSCI Sr. Data Architect III. The Data Architect leads secure, scalable data architecture for enterprise security platforms in classified, enclave-based environments. This role designs data pipelines, storage, and governance to support large-scale security analytics while ensuring compliance and data integrity. The ideal candidate translates complex TS/SCI security requirements into resilient, compliant data architectures.

Key focus areas include Lead secure, scalable data architecture for enterprise security platforms, Design data pipelines, storage, and governance for large‑scale security analytics, and Ensure compliance and data integrity in classified, enclave‑based environments.

Successful candidates bring Active TS/SCI Clearance and 10+ Years Total Experience. Important skills include Data Architecture, Data Modeling, Designing Large-Scale Data Ingestion Systems, Structured Data Management, Unstructured Data Management, and Data Governance.

Skills & qualifications

RequiredNice to have

Skills

Data ArchitectureData ModelingDesigning Large-Scale Data Ingestion SystemsStructured Data ManagementUnstructured Data ManagementData GovernanceData LineageData Quality FrameworksHybrid Data EnvironmentsSecurity and Compliance Requirements for Sensitive DataSupporting SIEM PlatformsCybersecurity Analytics PlatformsBig Data TechnologiesStreaming TechnologiesKafkaApache SparkAI/ML Data Pipelines for Threat DetectionZero Trust Data StrategiesDesigning Data Solutions for Classified Environments

Qualifications

Active TS/SCI Clearance10 Years of Total Experience6-8 Years Data Architecture ExperienceExperience in Secure Environments

Full job description

Job Description

o The Data Architect leads secure, scalable data architecture for enterprise security platforms in classified, enclave-based environments. The role designs data pipelines, storage, and governance to support large-scale security analytics while ensuring compliance and data integrity. The ideal candidate translates complex TS/SCI security requirements into resilient, compliant data architectures.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

o Active TS/SCI clearance

o 10 years of total experience, with 6–8 years specifically in data architecture / data engineering, including experience in secure environments.

o Strong experience in data architecture and data modeling

o Experience designing large-scale data ingestion and processing systems

o Knowledge of structured and unstructured data management

o Familiarity with data governance, lineage, and quality frameworks

o Experience with hybrid data environments (on-prem + cloud)

o Understanding of security and compliance requirements for sensitive data o Experience supporting SIEM or cybersecurity analytics platforms

o Knowledge of big data and streaming technologies (Kafka, Spark)

o Experience with AI/ML data pipelines for threat detection

o Familiarity with Zero Trust data strategies

o Experience designing data solutions for classified environments

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