Data Architecture

Peraton; United States; On-site; USD 112,000 - 179,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) with company match

Paid time off

Job summary

Peraton is seeking a Data Architecture Lead Associate to guide data modernization across two major applications. This 100% remote role requires expert data engineering, analytics, and cloud modernization experience to design scalable data architectures, pipelines, and governance for secure data flows.

The position emphasizes collaboration with architects, analysts, and security teams. The ideal candidate has extensive experience with enterprise data engineering, integration patterns, and

Qualifications

• 5+ years with BS/BA; 3 years with MS/MA; 0 with PhD; 9 years with HS Diploma
• Must be a Citizen
• Able to obtain Public Trust
• Experience in data engineering, analytics, or related roles
• Proficiency with SQL and relational/NoSQL databases
• Experience building ETL/ELT pipelines and distributed data processing
• Hands-on with at least one modern data engineering stack
• Proficiency with AWS/Azure/OCI
• Understanding of API-driven integration and data streaming
• Experience migrating data from legacy systems
• Ability to design robust data models for transactional/analytical workloads
• Excellent analytical, problem-solving, and communication skills

Responsibilities

• Lead design and implementation of modern data architectures for the modernization framework
• Assess legacy systems and define data structures, quality, storage, and transformation logic
• Define data migration, cleansing, normalization, and reconciliation strategies
• Establish data standards, naming conventions, and governance for the ecosystem
• Build scalable data pipelines for ingestion, transformation, and distribution
• Implement ETL/ELT solutions using cloud services
• Design APIs, streaming processes, and batch workflows for integration
• Ensure reliability, performance, and security of data pipelines
• Analyze datasets to identify inconsistencies and transformation needs
• Collaborate with business analysts to translate needs into data requirements
• Create dashboards/reports to support modernization decisions
• Provide insights to stakeholders from detailed data analysis
• Mentor junior/mid-level data engineers and analysts
• Participate in Agile ceremonies and planning
• Communicate data risks, issues, and progress to leadership
• Ensure data validation, quality checks, and monitoring across pipelines
• Support data lineage and cataloging efforts

Skills

SQL

ETL/ELT pipelines

Cloud platforms

Data modeling

APIs & integration

NoSQL databases

Data governance

Education

BS/BA in CS/Engineering

MS/MA preferred

Tools

CI/CD tooling

BI tools (Power BI/Tableau)

Job description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.

About The Role

Peraton is seeking a Data Architecture. We are seeking a highly skilled data architecture, lead associate to lead data modernization efforts for two existing business applications undergoing a major transformation. This position will be responsible for evaluating legacy data structures, designing modern data architectures, and enabling reliable, scalable, and secure data flows within the new modernization framework. The ideal candidate has extensive experience with enterprise data engineering, analytics, integration patterns, and cloud-based modernization initiatives.

This position is 100% remote.

Key Responsibilities

Data Architecture & Modernization Leadership

• Lead the design and implementation of modern data architectures that support the modernization framework, including data models, pipelines, and integration layers.
• Assess legacy systems to understand data structures, data quality, storage mechanisms, and transformation logic.
• Define strategies for data migration, data cleansing, normalization, and reconciliation between legacy and modernized systems.
• Establish data standards, naming conventions, and governance practices for the modernized ecosystem.

Data Pipeline Development & Integration

• Build and maintain scalable data pipelines to support ingestion, transformation, and distribution of data across the modernized platform.
• Implement ETL/ELT solutions using modern data engineering tools and cloud services.
• Design APIs, streaming processes, and batch ingestion workflows as needed for system integration.
• Ensure data pipelines follow best practices for reliability, performance, and security.

Analytics & Business Insights

• Analyze legacy and modern data sets to identify inconsistencies, gaps, and transformation requirements.
• Work with business analysts and application teams to translate business needs into data requirements for the modernized applications.
• Create dashboards, reports, and analytic outputs to support modernization decision-making.
• Provide insights and recommendations to stakeholders based on detailed data analysis.

Collaboration & Leadership

• Collaborate closely with architects, system developers, business analysts, and security teams to drive modernization goals.
• Serve as a technical mentor to junior and mid-level data engineers and analysts.
• Participate in Agile ceremonies and contribute to planning and prioritization of modernization tasks.
• Communicate data-related risks, issues, and progress to project leadership.

Quality, Security, & Compliance

• Implement and enforce data validation, quality checks, and monitoring processes across pipelines.
• Ensure compliance with organizational, industry, and regulatory data security standards.
• Support metadata management, data lineage, and data cataloging efforts.

Qualifications

Required Qualifications

• 5 years with BS/BA; 3 years with MS/MA; 0 years with PhD, 9 years of experience with HS Diploma
• Must be a Citizen
• Able to obtain Public Trust
• Experience in data engineering, data analytics, or related roles.
• Expert-level proficiency with SQL and experience working with relational and NoSQL databases.
• Strong experience building ETL/ELT pipelines and distributed data processing workflows.
• Hands-on experience with at least one modern data engineering stack.
• Proficiency with cloud platforms such as AWS, Azure, or OCI
• Strong understanding of API-driven integration, data streaming, and event-driven architectures.
• Experience migrating data from legacy systems into modern architectures.
• Ability to design robust data models supporting transactional, analytical, or hybrid workloads.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience supporting application modernization or digital transformation initiatives.
• Familiarity with microservices-based architectures and service-oriented data flows.
• Experience working with CI/CD pipelines and DevOps tooling for data workflows.
• Knowledge of data governance frameworks and tools (Collibra, Purview, etc.).
• Experience with BI tools such as Power BI, Tableau, or similar.
• Understanding of security best practices, encryption, identity/access management, and regulatory compliance requirements.

Details

Target Salary Range: $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate's own.

EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.