Lead Data Architect
Leads enterprise data architecture strategy, governance, and delivery for a large-scale federal modernization program — designing cloud-native data lakes, pipelines, streaming and AI/ML-enabled platforms while coordinating multi-contractor teams. Core stack includes AWS/Azure, Spark, Kafka, Databricks, Snowflake, Airflow, and Terraform in a DevSecOps/SAFe environment.
- Compensation
- $160K–$225K / yr
- Location
- McLean, Virginia, United States; Suitland, Maryland, United States; Virginia, DC, Maryland Metro Area
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Contract
- Experience
- 14+ years
- Category
- Architecture
- Posted
Skills
Must have
- U.S. Citizenship with ability to obtain and maintain a Public Trust clearance
- 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
Nice to have
- 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
Full description
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
SalaryRange: $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