Job Requirements
Herndon, VA
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Senior Level Career (10+ yrs experience)
$165,000 - $228,000
Job Description
Position Availability:
Phase 1: One Data Manager SME—immediate requirement; originally scheduled to begin October 1, 2026.
Phase 2: One additional Data Manager SME—anticipated to begin January 1, 2027.
Position Overview:
We are seeking a Data Management Subject Matter Expert to support the Cloud City ECP 2 effort through the design, development, integration, and sustainment of advanced data systems for an Enterprise IT data platform.
This role will help integrate diverse systems, operational data sources, and device feeds into a dynamic, single-pane-of-glass dashboard that accurately communicates the health and status of mission-critical IT systems. The ideal candidate will bring broad expertise across data management, SQL and NoSQL environments, API-based integration, data pipelines, governance, and enterprise operational data.
Key Responsibilities:
Design, develop, integrate, and sustain data-management capabilities for an Enterprise IT data platform.
Establish and enforce data-governance policies, standards, and controls that protect data security, integrity, accessibility, accuracy, and usability.
Oversee the ingestion, storage, processing, transformation, and integration of large federal datasets.
Develop and integrate RESTful APIs and adapt other API frameworks to support integration and light lift-and-shift requirements.
Architect multi-source data feeds, including SNMP, server, storage, network-device, and multi-cloud log data.
Manage high-volume data streams using log-aggregation platforms such as Splunk, Elastic, and Logstash, as well as ETL/ELT technologies.
Integrate SQL and NoSQL environments through APIs and other enterprise data-integration methods.
Align data practices with applicable federal requirements, including FDTA, HIPAA, FISMA, and relevant NIST guidance.
Conduct data audits, validation, cleansing, and remediation to maintain accurate, reliable reporting assets.
Identify and resolve data-quality, pipeline, ingestion, and integration issues.
Collaborate with systems engineers, developers, data scientists, analysts, and federal stakeholders to meet project and mission objectives.
Develop and maintain technical documentation for data architecture, integrations, governance standards, data flows, and sustainment activities..
Required Skills and Demonstrated Experience:
U.S. citizenship required.
Active TS/SCI with CI or Full Scope Polygraph required—no exceptions.
Ability to work on-site at customer facilities in Chantilly, Virginia.
Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical field—or equivalent relevant experience.
Demonstrated subject-matter expertise in enterprise data management, systems integration, data engineering, or a closely related discipline.
Broad knowledge of SQL and NoSQL databases and their integration through APIs.
Experience developing and integrating RESTful APIs, with the ability to adapt to other API languages, protocols, or frameworks.
Experience designing and managing complex data pipelines involving ingestion, storage, processing, transformation, and integration.
Experience integrating SNMP, server, storage, network-device, multi-cloud, and operational-log data.
Experience with high-volume data streams, ETL/ELT processes, and log-aggregation platforms such as Splunk, Elastic, and Logstash.
Strong knowledge of data governance, data quality, security, and compliance within federal environments.
Experience conducting data audits, validation, cleansing, and quality-control activities.
Strong analytical and problem-solving skills with the ability to diagnose and resolve complex data-integration and pipeline issues.
Strong technical writing and communication skills.
Preferred Qualifications & Certifications:
Experience supporting U.S. Federal Government or Intelligence Community programs and mission environments.
Experience developing enterprise operational dashboards or single-pane-of-glass data platforms.
Experience with cloud data platforms, warehouses, and government cloud environments such as AWS GovCloud or Azure Government.
Familiarity with DevSecOps, CI/CD pipelines, infrastructure automation, and enterprise integration patterns.
Experience working in Agile technical environments and collaborating across engineering, analytics, cybersecurity, and customer teams.
Certified Data Management Professional (CDMP).
AWS Certified Data Engineer – Associate.
AWS Certified Solutions Architect – Associate or Professional.
Relevant Splunk or Elastic certifications.
Other comparable certifications in data management, data engineering, cloud architecture, or enterprise integration.
Knowledge, Skills, and Abilities:
Strong knowledge of data governance, data quality, security, and compliance within federal environments, including applicable requirements such as FDTA, HIPAA, and FISMA.
Demonstrated ability to architect and manage complex data pipelines involving large, multi-source datasets.
Ability to integrate SQL and NoSQL environments using RESTful APIs and other API-based approaches.
Experience integrating SNMP, server, storage, network-device, and multi-cloud data feeds.
Proficiency with SQL, NoSQL technologies, cloud data platforms, and data-governance tools.
Experience with high-volume data streams, ETL/ELT processes, and log-aggregation platforms, including Splunk, Elastic, and Logstash.
Strong understanding of data auditing, validation, cleansing, quality management, and reporting accuracy.
Ability to establish and enforce policies, standards, and controls supporting data security, integrity, accessibility, and usability.
Strong analytical skills and the ability to identify and resolve data-quality, integration, ingestion, and pipeline issues.
Ability to communicate effectively and collaborate with systems engineers, developers, data scientists, technical teams, and federal stakeholders.
Experience Levels:
Contract labor-category alignment may include the following experience levels:
Full Performance: 3+ years of relevant experience plus a bachelor’s degree.
Senior: 6+ years of relevant experience plus a bachelor’s degree.
Expert: 11+ years of relevant experience plus a bachelor’s degree.
Subject Matter Expert: 16+ years of relevant experience plus a bachelor’s degree.
Candidates will be evaluated primarily on their demonstrated skill, technical depth, breadth of knowledge, and ability to perform the work—not solely on years of experience.
Base Salary Range:
$165,000 - $228,000
* Disclaimer: The base salary range displayed may not include all available compensation opportunities or benefits.
Equal Opportunity Employer Statement:
IT Availability LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Phase 1: One Data Manager SME—immediate requirement; originally scheduled to begin October 1, 2026.
Phase 2: One additional Data Manager SME—anticipated to begin January 1, 2027.
Position Overview:
We are seeking a Data Management Subject Matter Expert to support the Cloud City ECP 2 effort through the design, development, integration, and sustainment of advanced data systems for an Enterprise IT data platform.
This role will help integrate diverse systems, operational data sources, and device feeds into a dynamic, single-pane-of-glass dashboard that accurately communicates the health and status of mission-critical IT systems. The ideal candidate will bring broad expertise across data management, SQL and NoSQL environments, API-based integration, data pipelines, governance, and enterprise operational data.
Key Responsibilities:
Design, develop, integrate, and sustain data-management capabilities for an Enterprise IT data platform.
Establish and enforce data-governance policies, standards, and controls that protect data security, integrity, accessibility, accuracy, and usability.
Oversee the ingestion, storage, processing, transformation, and integration of large federal datasets.
Develop and integrate RESTful APIs and adapt other API frameworks to support integration and light lift-and-shift requirements.
Architect multi-source data feeds, including SNMP, server, storage, network-device, and multi-cloud log data.
Manage high-volume data streams using log-aggregation platforms such as Splunk, Elastic, and Logstash, as well as ETL/ELT technologies.
Integrate SQL and NoSQL environments through APIs and other enterprise data-integration methods.
Align data practices with applicable federal requirements, including FDTA, HIPAA, FISMA, and relevant NIST guidance.
Conduct data audits, validation, cleansing, and remediation to maintain accurate, reliable reporting assets.
Identify and resolve data-quality, pipeline, ingestion, and integration issues.
Collaborate with systems engineers, developers, data scientists, analysts, and federal stakeholders to meet project and mission objectives.
Develop and maintain technical documentation for data architecture, integrations, governance standards, data flows, and sustainment activities..
Required Skills and Demonstrated Experience:
U.S. citizenship required.
Active TS/SCI with CI or Full Scope Polygraph required—no exceptions.
Ability to work on-site at customer facilities in Chantilly, Virginia.
Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical field—or equivalent relevant experience.
Demonstrated subject-matter expertise in enterprise data management, systems integration, data engineering, or a closely related discipline.
Broad knowledge of SQL and NoSQL databases and their integration through APIs.
Experience developing and integrating RESTful APIs, with the ability to adapt to other API languages, protocols, or frameworks.
Experience designing and managing complex data pipelines involving ingestion, storage, processing, transformation, and integration.
Experience integrating SNMP, server, storage, network-device, multi-cloud, and operational-log data.
Experience with high-volume data streams, ETL/ELT processes, and log-aggregation platforms such as Splunk, Elastic, and Logstash.
Strong knowledge of data governance, data quality, security, and compliance within federal environments.
Experience conducting data audits, validation, cleansing, and quality-control activities.
Strong analytical and problem-solving skills with the ability to diagnose and resolve complex data-integration and pipeline issues.
Strong technical writing and communication skills.
Preferred Qualifications & Certifications:
Experience supporting U.S. Federal Government or Intelligence Community programs and mission environments.
Experience developing enterprise operational dashboards or single-pane-of-glass data platforms.
Experience with cloud data platforms, warehouses, and government cloud environments such as AWS GovCloud or Azure Government.
Familiarity with DevSecOps, CI/CD pipelines, infrastructure automation, and enterprise integration patterns.
Experience working in Agile technical environments and collaborating across engineering, analytics, cybersecurity, and customer teams.
Certified Data Management Professional (CDMP).
AWS Certified Data Engineer – Associate.
AWS Certified Solutions Architect – Associate or Professional.
Relevant Splunk or Elastic certifications.
Other comparable certifications in data management, data engineering, cloud architecture, or enterprise integration.
Knowledge, Skills, and Abilities:
Strong knowledge of data governance, data quality, security, and compliance within federal environments, including applicable requirements such as FDTA, HIPAA, and FISMA.
Demonstrated ability to architect and manage complex data pipelines involving large, multi-source datasets.
Ability to integrate SQL and NoSQL environments using RESTful APIs and other API-based approaches.
Experience integrating SNMP, server, storage, network-device, and multi-cloud data feeds.
Proficiency with SQL, NoSQL technologies, cloud data platforms, and data-governance tools.
Experience with high-volume data streams, ETL/ELT processes, and log-aggregation platforms, including Splunk, Elastic, and Logstash.
Strong understanding of data auditing, validation, cleansing, quality management, and reporting accuracy.
Ability to establish and enforce policies, standards, and controls supporting data security, integrity, accessibility, and usability.
Strong analytical skills and the ability to identify and resolve data-quality, integration, ingestion, and pipeline issues.
Ability to communicate effectively and collaborate with systems engineers, developers, data scientists, technical teams, and federal stakeholders.
Experience Levels:
Contract labor-category alignment may include the following experience levels:
Full Performance: 3+ years of relevant experience plus a bachelor’s degree.
Senior: 6+ years of relevant experience plus a bachelor’s degree.
Expert: 11+ years of relevant experience plus a bachelor’s degree.
Subject Matter Expert: 16+ years of relevant experience plus a bachelor’s degree.
Candidates will be evaluated primarily on their demonstrated skill, technical depth, breadth of knowledge, and ability to perform the work—not solely on years of experience.
Base Salary Range:
$165,000 - $228,000
* Disclaimer: The base salary range displayed may not include all available compensation opportunities or benefits.
Equal Opportunity Employer Statement:
IT Availability LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
group id: 91123914