As a Lead Data Architect at Peraton, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program.
You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise.
Location: Suitland, MD (Hybrid)
Day to Day Roles and Responsibilities
Provide technical leadership across enterprise data architecture efforts within a large-scale modernization program
Design and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms
Define and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches
Oversee data management, integration, quality, lineage, storage, retention, and governance processes across systems
Establish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements
Design and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities
Support real-time and streaming architectures using event-driven processing and distributed messaging systems
Design and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs)
Support AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF
Collaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions
Ensure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards
Lead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms
Implement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements
Support operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M)
Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams
Mentor architects and engineering teams while promoting consistency, governance, and technical excellence
Qualifications
Basic Qualifications
Bachelors degree and 12 years of experience or an Associates degree and 14 years of experience or a High School diploma/equivalent and 16 years of experience
Must be a U.S. Citizen with the ability to obtain a Public Trust clearance
10+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives
Proven experience designing enterprise data architectures for large-scale, distributed systems environments
Experience operating within Agile and SAFe/scaled Agile delivery frameworks
Strong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms
Experience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures
Experience implementing metadata management, lineage, catalogs, and governance frameworks
Experience with system-of-systems integration, APIs, interface management, and distributed architectures
Experience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance
Experience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake
Experience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks
Experience with cloud-native data services across AWS and Azure environments
Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation
Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support
Experience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms
Experience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems
Preferred Qualifications
Certifications in cloud data platforms, big data technologies, or enterprise architecture frameworks
Experience supporting statistical and similarly large-scale federal modernization programs
Experience with large-scale real-time analytics or event-streaming environments
Experience implementing enterprise AI governance or advanced analytics frameworks
Experience supporting DataOps or platform engineering initiatives
Target Salary Range $104,000 - $166,000. 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
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
