Data Architect, Advisor

Peraton

Data Architect defining enterprise data architecture supporting operations and analytics at Peraton. Collaborating on data integration patterns and governance standards.

Posted 7/2/2026full-timeWashington DC • Maryland, Virginia, Washington • 🇺🇸 United StatesSeniorLead💰 $112,000 - $179,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudHadoopJavaKafkaNoSQLPythonScalaSparkSQL

About the role

Key responsibilities & impact

Define the enterprise data architecture supporting operational systems, analytical platforms, and AI initiatives.
Establish the event-driven integration patterns, governance and metadata standards, and reusable data products.
Assess legacy systems to understand data structures, data quality, storage mechanisms, and transformation logic.
Work closely with the Systems Architect on enterprise direction, with Solutions Architects on product-level data needs, and with Data Engineers.
Define the target-state data architecture spanning operational stores and the analytical data lake.
Develop conceptual, logical, and physical data models that support both transactional systems and analytics.
Design event-driven integration patterns that feed the EDL, using messaging and an enterprise service bus.
Define reusable data products with clear ownership, documented schemas, lineage, quality expectations, and access policies.
Define data governance, metadata, and cataloging standards.
Ensure the data architecture supports analytics, machine learning, and Generative AI use cases.

Requirements

What you’ll need

Minimum of 8 years with BS/BA;
Minimum of 6 years with MS/MA;
Minimum of 3 years with PhD
Demonstrated experience in enterprise data architecture across operational and analytical systems.
Hands-on experience with at least one modern data engineering stack.
Strong knowledge of relational and non-relational databases (eg SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and data modeling.
Experience designing event-driven and streaming data integration.
Experience with programming languages i.e Java, SQL, Scala, Python etc
Experience with schema definition, data governance, metadata management, and data quality practices and software engineering best practices including secure, testable, and maintainable code
Experience with cloud data platforms, preferably AWS.
Active Secret Clearance
Local to the Washington, D.C Metro area.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Peraton Website LinkedIn All Job Openings 10,000+ employees 🔒 Cybersecurity 🏛️ Government Cybersecurity
Government
Defense Peraton is a mission-focused enterprise that supports national security initiatives through advanced IT and cyber services. They provide capabilities in areas such as cyber defense, cloud operations, engineering, and intelligence. With a commitment to solving complex challenges, Peraton integrates data-driven technologies to ensure mission success for their military and government clients. Data Architect, Advisor 🔥 6 minutes ago 🏢🏡 Washington Dc – Hybrid 💵 $112k - $179k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer 🦅 H1B Visa Sponsor AWS Cloud Hadoop Java Kafka NoSQL Python Scala Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Define the enterprise data architecture supporting operational systems, analytical platforms, and AI initiatives.
Establish the event-driven integration patterns, governance and metadata standards, and reusable data products.
Assess legacy systems to understand data structures, data quality, storage mechanisms, and transformation logic.
Work closely with the Systems Architect on enterprise direction, with Solutions Architects on product-level data needs, and with Data Engineers.
Define the target-state data architecture spanning operational stores and the analytical data lake.
Develop conceptual, logical, and physical data models that support both transactional systems and analytics.
Design event-driven integration patterns that feed the EDL, using messaging and an enterprise service bus.
Define reusable data products with clear ownership, documented schemas, lineage, quality expectations, and access policies.
Define data governance, metadata, and cataloging standards.
Ensure the data architecture supports analytics, machine learning, and Generative AI use cases. 🎯 Requirements
Minimum of 8 years with BS/BA;
Minimum of 6 years with MS/MA;
Minimum of 3 years with PhD
Demonstrated experience in enterprise data architecture across operational and analytical systems.
Hands-on experience with at least one modern data engineering stack.
Strong knowledge of relational and non-relational databases (eg SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and data modeling.
Experience designing event-driven and streaming data integration.
Experience with programming languages i.e Java, SQL, Scala, Python etc
Experience with schema definition, data governance, metadata management, and data quality practices and software engineering best practices including secure, testable, and maintainable code
Experience with cloud data platforms, preferably AWS.
Active Secret Clearance
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Hard Skills & Tools

Data ArchitectureData ModelingRelational DatabasesNon-Relational DatabasesProgramming LanguagesData Quality PracticesSchema DefinitionData Engineering StackMachine Learning SupportGenerative AI Use Cases

Certifications

Active Secret Clearance