Lead Data Architect

Revolutional

Clearance/Work Authorization

Travel

Project Description

Position Description

Lead Data Architect

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)

What You Bring (Requirements)

• U.S. Citizenship with the ability to obtain a Public Trust
• 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
• Ability to obtain and maintain a Public Trust clearance

Technical Capabilities

• 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
• #DICE
• ___________________________________________________________________________________________________________
• 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.*

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