Pay
Higher than most similar jobs
$205K–$245K against $127K–$190K, the middle half of what similar US postings state.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
Senior Data-Integration & AI Security Architect
Arlington, VA, US
Open 3 months, first seen by us 118 days ago- Pay
$205,000–245,000/yearAnnual period assumed — pay source
SALARY RANGE: $205,000-$245,000+ Ability to pass a minimum background investigation.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and build Flink, Spark, and Kafka pipelines that normalize and fuse security telemetry
Architect the canonical data model reconciling the GRC platform and agency system of record
Build OSCAL-aligned export and validation tooling for control and authorization artifacts
Lead adversarial testing of AI and SaaS products, including prompt injection and RAG leakage
Stand up streaming detection, log normalization, and alerting for continuous monitoring
From the employer’s posting
Design and build pipelines (Apache Flink, Spark, Kafka/MSK) that ingest, normalize, deduplicate, and fuse security telemetry
Architect the canonical data model reconciling two authoritative systems of record (GRC platform and agency system of record)
Build OSCAL-aligned export and validation tooling for control and authorization artifacts
Lead adversarial testing - prompt injection, jailbreak, RAG/vector-DB leakage, and model or tool/agent misuse
Stand up streaming detection and log normalization, correlation, and alerting to support continuous monitoring
What you’ll bring
All qualificationsCore experience
- 15+ years architecting enterprise data and integration platforms, including real-time streaming (Apache Flink, Spark, Kafka/MSK or equivalent) on AWS.
- Bachelor of Science (or higher) in computer engineering, computer science, information technology, cyber security, or a related field.
- Proficiency in Python, Java, and/or Scala; Kubernetes/EKS, Terraform, and CI/CD.
Preferred experience
- Familiarity with security observability (OpenSearch/Elasticsearch, OpenTelemetry) and event-driven/agentic AI workflows a plus.
Qualification wording
15+ years architecting enterprise data and integration platforms, including real-time streaming (Apache Flink, Spark, Kafka/MSK or equivalent) on AWS.
Bachelor of Science (or higher) in computer engineering, computer science, information technology, cyber security, or a related field.
Proficiency in Python, Java, and/or Scala; Kubernetes/EKS, Terraform, and CI/CD.
Familiarity with security observability (OpenSearch/Elasticsearch, OpenTelemetry) and event-driven/agentic AI workflows a plus.
Education & alternatives
Education - Bachelor of Science (or higher) in computer engineering, computer science, information technology, cyber security, or a related field. - Another major will be considered, provided it clearly addresses at least one of the following: cyber security engineering, systems administration, information systems security, software development security, systems engineering, information systems, or information technology.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 15, 2026118 days ago
- Recorded sightings
- 42
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 118
Up longer than most. Similar jobs usually come down between day 6 and day 55.
From 13,018 similar postings that came down. Coming down is not always a hire.
Zermount is hiring
1 open job
- No new data jobs since July
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- AWS
- Elasticsearch
- Kafka
- Kubernetes
- Spark
- Terraform
Where the posting names them
- Demonstrated AI/LLM security testing (e.g., Promptfoo): prompt injection, jailbreak, RAG leakage, and guardrail validation. - Proficiency in Python, Java, and/or Scala; Kubernetes/EKS, Terraform, and CI/CD. - Working knowledge of NIST SP 800-53 and machine-readable compliance (OSCAL).
- Security Observability: Stand up streaming detection and log normalization, correlation, and alerting to support continuous monitoring. - Cloud-Native Engineering: Build and deploy on AWS (GovCloud), Kubernetes/EKS, with Terraform and CI/CD. Qualifications
- High level of attention to detail, needs minimal guidance, effective verbal and written communication. - 15+ years architecting enterprise data and integration platforms, including real-time streaming (Apache Flink, Spark, Kafka/MSK or equivalent) on AWS. - Hands-on integration/connector and API engineering with schema mapping across heterogeneous sources (cloud, scanner, SIEM, ITSM).
- Working knowledge of NIST SP 800-53 and machine-readable compliance (OSCAL). - Familiarity with security observability (OpenSearch/Elasticsearch, OpenTelemetry) and event-driven/agentic AI workflows a plus. Education
Duties & Responsibilities - Streaming & Event-Driven Integration: Design and build pipelines (Apache Flink, Spark, Kafka/MSK) that ingest, normalize, deduplicate, and fuse security telemetry from cloud-native services, CI/CD, and enterprise tools into a unified evidence model. - Data Reconciliation: Architect the canonical data model reconciling two authoritative systems of record (GRC platform and agency system of record) - field mappings, identifier strategy, and precedence/conflict rules.
Your next step
Complete your application on zermount.isolvedhire.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Senior Data-Integration & AI Security Architect
Position Overview
We are looking for a highly talented, technical, hands-on Senior Data-Integration & AI Security Architect to help accelerate our growing Professional Services business within the Government Sector. You will design and build the integration layer that moves security telemetry, evidence, and machine-readable authorization artifacts between cloud-native sources, CI/CD pipelines, enterprise security tools, and a governance, risk, and compliance (GRC) platform - and lead adversarial security testing of AI and SaaS products entering the enterprise - in support of a federal continuous Authorization to Operate (cATO) program.
Duties & Responsibilities
- Streaming & Event-Driven Integration: Design and build pipelines (Apache Flink, Spark, Kafka/MSK) that ingest, normalize, deduplicate, and fuse security telemetry from cloud-native services, CI/CD, and enterprise tools into a unified evidence model.
- Data Reconciliation: Architect the canonical data model reconciling two authoritative systems of record (GRC platform and agency system of record) - field mappings, identifier strategy, and precedence/conflict rules.
- Machine-Readable Compliance: Build OSCAL-aligned export and validation tooling for control and authorization artifacts.
- AI Security Testing: Lead adversarial testing - prompt injection, jailbreak, RAG/vector-DB leakage, and model or tool/agent misuse - and validate guardrails for AI and SaaS products.
- Security Observability: Stand up streaming detection and log normalization, correlation, and alerting to support continuous monitoring.
- Cloud-Native Engineering: Build and deploy on AWS (GovCloud), Kubernetes/EKS, with Terraform and CI/CD.
Qualifications
- High level of attention to detail, needs minimal guidance, effective verbal and written communication.
- 15+ years architecting enterprise data and integration platforms, including real-time streaming (Apache Flink, Spark, Kafka/MSK or equivalent) on AWS.
- Hands-on integration/connector and API engineering with schema mapping across heterogeneous sources (cloud, scanner, SIEM, ITSM).
- Demonstrated AI/LLM security testing (e.g., Promptfoo): prompt injection, jailbreak, RAG leakage, and guardrail validation.
- Proficiency in Python, Java, and/or Scala; Kubernetes/EKS, Terraform, and CI/CD.
- Working knowledge of NIST SP 800-53 and machine-readable compliance (OSCAL).
- Familiarity with security observability (OpenSearch/Elasticsearch, OpenTelemetry) and event-driven/agentic AI workflows a plus.
Education
- Bachelor of Science (or higher) in computer engineering, computer science, information technology, cyber security, or a related field.
- Another major will be considered, provided it clearly addresses at least one of the following: cyber security engineering, systems administration, information systems security, software development security, systems engineering, information systems, or information technology.
CERTIFICATION
- None required.
Clearance Level
- No Clerance required, but an active Secret Clearance is preferred.
Work Location
- Primary location(s) are Arlington and Alexandria VA. Remote work is authorized, but the employee may have to report to one of the primary sites occasionally or as requested by management or the client.
Hours of Operation
- 6:00 am ET – 6:00 pm ET
SALARY RANGE:
- $205,000-$245,000+
- Ability to pass a minimum background investigation.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
SALARY RANGE: $205,000-$245,000+ Ability to pass a minimum background investigation.
- Location & working pattern
Arlington, VA, US
Work Location - Primary location(s) are Arlington and Alexandria VA. Remote work is authorized, but the employee may have to report to one of the primary sites occasionally or as requested by management or the client. Hours of Operation
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.