Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes.
We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Data Architect
Location: Suitland, MD (Hybrid)
Terms: Full-time
Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required
Salary Range: $160-225k DOE
Travel: %
Project Description
This position supports Revolutional’s federal customer as part of an application transformation and modernization initiative.
This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization.
The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations.
Position Description
As a Lead Data Architect at Revolutional, 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.
This role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations.
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
Technical Environment
Cloud-native data platforms (AWS, Azure)
Data lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems
Big data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow)
APIs, event-driven architectures, and distributed integration platforms
ETL/ELT pipelines and large-scale data processing frameworks
MLOps, AI/ML-enabled analytics, and model deployment environments
Infrastructure-as-Code and automation tools (Terraform)
DevSecOps pipelines and CI/CD automation frameworks
Data governance, metadata, lineage, and catalog platforms
Agile and scaled Agile (SAFe) delivery environments
Delivery and collaboration platforms (Git, Jira, Confluence)
Required Skills and Experience
10–14+ 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
Core Strengths
Strategic thinker capable of translating mission and business requirements into scalable enterprise data architectures
Strong ownership mindset with accountability for architecture, governance, and operational outcomes
Ability to influence technical direction across engineering, analytics, architecture, and operational teams
Strong decision-making skills balancing modernization goals, operational realities, and compliance requirements
Effective communication across technical, operational, and executive stakeholders
Ability to coordinate delivery and governance across complex, multi-team, multi-contractor environments
Nice to Have (Differentiators)
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
Work Authorization/Clearance: Must be a U.S. Citizen and able to obtain a Federal Government Public Trust clearance.
#DICE #Linkedin ___________________________________________________________________________________________________________
Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include:
Recognized as a Top 20 "Best Place to Work in Virginia"
Recipient of Department of Labor's HireVets Gold Medallion
Great Place to Work Certification for five years running
A Virginia Chamber of Commerce Fantastic 50 company
A Northern Virginia Technology Council Tech 100 company
Inc. 5000 list of fastest growing companies for eleven years
Two-time SBA SBIR Tibbett's Award winner
Virginia Values Veterans (V3) Certification
We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to
Traditional and HSA- eligible medical insurance plans
100% employer-paid dental and vision insurance options
100% employer-sponsored STD, LTD, and life insurance
5% 401(k) company matching
Flexible-schedules and teleworking options
Paid holidays and PTO Accrual Plans
Paid Parental Leave
Professional development and career growth opportunities
Team and company-wide events, recognition, and appreciation-- and so much more!
Check out our Revolutional | LinkedIn to find out a little more about who we are and if we are the right next step for your career!
Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact HR@revolutional.com .
“Know Your Rights: Workplace Discrimination is Illegal” Poster | U.S. Equal Employment Opportunity Commission