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Senior Software Engineer - Test Infrastructure
Loft Orbital Solutions
San Francisco, CA
- $140,000 to $210,000 USD / year
We are looking for a Test Infrastructure Engineer to join the team building and maintaining Loft’s test infrastructure internationally across our Golden, CO, San Francisco, CA, and…
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Senior Software Engineer - Test Infrastructure
Loft Orbital Solutions
Golden, CO
- $140,000 to $210,000 USD / year
We are looking for a Test Infrastructure Engineer to join the team building and maintaining Loft’s test infrastructure internationally across our Golden, CO, San Francisco, CA, and…
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Senior Software Engineer - Angular/Python
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Added 2 mins ago
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Senior Software Engineer - Digital Platforms
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Software Engineer, Systems ML
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Client Technology - Senior Software Engineering with AI Capabilities
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Added 3 mins ago
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Security Engineer (Senior/Lead) - MeshMesh
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Added 4 mins ago
Campus Undergraduate Summer Internship Program - 2027 Cybersecurity AI Engineer, Enterprise Technology Services- Phoenix, AZ
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Principal Software Engineer
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Space Systems Integration Engineer - (C3) Battle Management
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Sr. Space Lasers Engineer, Satellites (Starlink)
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Sr. Antenna Engineer, Satellites (Starlink)
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Oliver Wyman Vector - DevOps Engineer (AWS & Cybersecurity)
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Next Generation Desktop Environment (NGDE) Engineer – TS/SCI with Polygraph
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Senior Data Engineer (AWS & Databricks)
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F-22 Simulation Software Engineer (Associate, Experienced, and Senior)
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Added 11 mins ago
Flight Simulation Software Engineers (Associate, Experienced, and Senior)
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Senior Data Architect
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Insight Global

Data Fabric-Mesh Architect (100% Remote)

Remote, United States

From $68 USD / hour

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Job details

Pay: From $68 USD / hour
Experience: 7+ years of experience progressively responsible experience in data architecture, data engineering, data-platform engineering, cloud data solutions, or related technical roles.
Posting language: English
Posted: Nov 3, 2026

Original job description

Required Skills & Experience

Ability to obtain a DHS EOD security clearance
Bachelor’s degree in computer science, information systems, engineering, data science, or a related technical field.
7+ years of experience progressively responsible experience in data architecture, data engineering, data-platform engineering, cloud data solutions, or related technical roles.
Experience serving as a technical lead/architect for enterprise-scale data, analytics, or data-platform initiatives.
Experience supporting data-fabric, data-mesh, enterprise data-sharing, or data-governance adoption within a federal agency or other large, complex enterprise.
Demonstrated hands-on experience designing and implementing data pipelines, ETL/ELT processes, data models, data stores, analytics platforms, or cloud-based data solutions.
Strong familiarity with Databricks, including relevant capabilities such as Delta Lake, Apache Spark, Unity Catalog, data engineering, data governance, data sharing, or lakehouse architecture.
Experience with Python/SQL or similar data-engineering technologies.
Familiarity with business intelligence and visualization tools (e.g., Tableau, Power BI, QuickSight).
Experience with data catalog and governance tools (e.g., OpenMetaData or Collibra).
Understanding of modern data architecture concepts, including data lakehouse, data fabric, data mesh, data products, metadata management, data catalogs, data lineage, data quality, and data governance.
Experience with cloud-based data platforms and services, specifically with AWS GovCloud.
Strong understanding of data-ingestion, transformation, orchestration, batch and streaming patterns, APIs, relational and nonrelational data stores, and analytics consumption patterns.
Demonstrated ability to engage directly with senior clients and translate mission or business needs into practical technical strategy and architecture.
Excellent written, verbal, facilitation, and presentation skills.
Ability to quickly evaluate emerging technologies, explain tradeoffs, and make sound technical recommendations in a dynamic environment.

Nice to Have Skills & Experience

Prior experience supporting DHS or another federal agency
Relevant certifications, such as Databricks Data Engineer or AWS Solutions Architecture.
Experience implementing or governing a data catalog, metadata-management, lineage, data-quality, or master-data-management capability.
Experience with data-integration, orchestration, and streaming technologies such as Kafka, Airflow, AWS Glue, or equivalent tools.
Experience with infrastructure as code, CI/CD, DevSecOps, or containerization.

Job Description

Insight Global is looking to hire a Data Fabric-Mesh Architect to help shape and advance DHS’s enterprise data fabric strategy. This person will serve as the lead technical advisor across data architecture, data engineering, data governance, and data sharing, helping translate DHS’s data fabric directive into an actionable architecture, roadmap, operating model, and adoption approach. This includes providing technical oversight and strategic direction for Databricks, while also supporting legacy data platforms and broader solution delivery efforts. This person will work closely with DHS leadership, data owners, component offices, and delivery teams to drive adoption across the enterprise. The ideal candidate will bring previous hands-on data engineering or data platform implementation experience and be comfortable contributing to technical solutioning while advising senior stakeholders on modern data capabilities, tradeoffs, and emerging technologies.

Responsibilities Include:

Develop and maintain enterprise data architecture principles, reference architectures, implementation patterns, and technical roadmaps spanning data ingestion, transformation, storage, data products, analytics, governance, metadata, lineage, security, and consumption.
Ensure the data-fabric strategy accounts for the broader DHS data ecosystem, including legacy platforms, existing data solutions, business intelligence tools, cloud environments, data catalogs, and component-managed data assets.
Advise clients on practical adoption of data mesh and data-fabric concepts, including domain ownership, data-product design, interoperability, metadata standards, data quality, stewardship, and producer/consumer responsibilities.
Develop technical recommendations that balance immediate mission needs and quick wins with long-term enterprise scalability, security, governance, and maintainability.
Collaborate with data engineers, platform engineers, architects, data scientists, analysts, and professional-services teams to review solution designs and establish reusable engineering patterns.
Support architecture and solutioning activities, including data-modeling discussions, pipeline-design reviews, integration approaches, proof-of-concept efforts, technical troubleshooting, and code or configuration reviews as appropriate.
Evaluate and recommend emerging data, analytics, AI, governance, integration, and observability capabilities that could improve DHS data sharing, delivery speed, or mission outcomes.
Communicate complex technical concepts, architectural tradeoffs, and recommendations clearly to both senior nontechnical stakeholders and technical delivery teams.
Support the development of executive briefings, architecture decision records, technical white papers, roadmaps, and adoption plans.
Mentor technical team members and help raise the program’s overall data architecture and engineering maturity.

Compensation:

$62.00/hr to $68.00/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.

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More about this job

Skills

Computer science
Data engineering
Data models
Databricks
Apache Spark
Unity
Python
SQL
Business intelligence
Tableau
Microsoft Power BI
AWS
Presentation skills
Data management
Apache Kafka
Apache Airflow
Infrastructure as code
CI/CD
Leadership
Data modelling
Troubleshooting

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