Data Fabric-Mesh Architect (100% Remote)

Insight Global; Arlington (VA); Remote; USD 85,000 - 94,000; Full time

Benefits offered by this job

Comprehensive benefits

Day-one medical/dental/vision

Job summary

Insight Global is seeking a Data Fabric-Mesh Architect to lead DHS enterprise data architecture, governance, and adoption initiatives. You will guide technical strategy for Databricks, data platforms, and data sharing, while coordinating with DHS leadership and delivery teams to drive enterprise adoption.

The role requires hands-on data engineering experience, strong communication skills, and the ability to translate mission needs into practical architecture and roadmaps.

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, data science, or a related technical field.
• 7+ years 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 initiatives.
• Experience supporting data-fabric, data-mesh, enterprise data-sharing, or governance adoption within a large organization.
• Hands-on experience designing and implementing data pipelines, ETL/ELT, data models, and cloud data solutions.
• Strong familiarity with Databricks, Delta Lake, Unity Catalog, data governance, and lakehouse concepts.
• Experience with Python/SQL or similar data-engineering technologies.
• Familiarity with BI tools (Tableau, Power BI, QuickSight) and data catalogs.
• Understanding of data lakehouse, data fabric, data mesh, metadata, lineage, and governance concepts.
• Experience with AWS GovCloud or other cloud data platforms.
• Experience with data-ingestion, orchestration, streaming, APIs, and analytics consumption patterns.
• Able to translate mission needs into practical technical strategy.

Responsibilities

• Develop and maintain enterprise data architecture principles, reference architectures, implementation patterns, and roadmaps.
• Ensure the data-fabric strategy aligns with the broader DHS data ecosystem including legacy platforms and cloud environments.
• Advise on practical adoption of data mesh and data-fabric concepts like data products and metadata standards.
• Provide technical recommendations balancing quick wins with long-term scalability, security, and governance.
• Collaborate with data engineers, architects, scientists, and delivery teams to review designs and establish reusable patterns.
• Support architecture reviews, data-modeling discussions, and proof-of-concept efforts.
• Evaluate emerging data and analytics capabilities to improve data sharing and mission outcomes.
• Communicate complex concepts to senior nontechnical stakeholders and technical teams.
• Contribute to executive briefings, architecture decision records, and adoption plans.
• Mentor team members to raise data architecture maturity.

Skills

DHS EOD clearance

Bachelor's degree in CS/IS/engineering

7+ years data architecture

Lead architect for enterprise data

Data-fabric/data-mesh adoption

Data pipelines/ETL/ELT

Databricks familiarity

Python/SQL

BI tools (Tableau/Power BI/QuickSight)

Data governance tools (OpenMetadata/Co

Education

Bachelor’s degree in CS/IS/Engineering/Data Science

Tools

Databricks

Delta Lake

Unity Catalog

Apache Spark

Tableau

Power BI

OpenMetadata

Collibra

Kafka

Airflow

AWS Glue

Job description

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.

Skills and Requirements

• 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.
• 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.

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [e-mail].