Senior Data Architect

AIS (Applied Information Sciences)

Senior Data Architect leading AIS’s enterprise data warehouse modernization program. Defining Snowflake and DBT architecture, governance, dimensional models, and cloud data roadmaps.

Posted 8/10/2026full-timeRemote • Virginia • 🇺🇸 United StatesSenior💰 $153,000 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Data Architecture and Engineering, with a strong focus on designing and implementing enterprise data warehouse solutions and cloud-native data platforms. Proven ability to lead cross-functional teams, establish data governance frameworks, and translate complex business requirements into scalable data solutions.

Highest-signal resume keywords

Data ArchitectureDimensional ModelingSnowflake ArchitectureData GovernanceCloud-Native Data Platforms

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingSQL DevelopmentData IntegrationData TransformationDimensional ModelingData Quality StrategiesArchitecture RoadmapsPerformance OptimizationAI-Assisted DevelopmentDataOps

Soft Skills

LeadershipMentorshipCommunicationCollaborationStakeholder Engagement

Tools & Technologies

SnowflakeDBTAirflowAzure Data ServicesKafkaAWS Data ServicesMicrosoft FabricData MeshMedallion ArchitectureCI/CD

Certifications & Qualifications

Microsoft Azure Data Engineer AssociateAzure Solutions Architect ExpertSnowflake CertificationAWS CertificationsPMPSAFeCertified Scrum Product Owner

Industry Keywords

Data ArchitectureData EngineeringBusiness IntelligenceCloud TransformationAgile Methodologies

Tech Stack

Tools & technologies

AirflowAWSAzureCloudKafkaPMPPythonSDLCSQL

About the role

Key responsibilities & impact

Define and govern the overall EDW Foundry architecture, including Silver, Gold, and Platinum data layers
Lead enterprise dimensional modeling initiatives, including conformed dimensions, business data products, and bus matrix strategy
Establish and enforce standards for data governance, metadata management, data quality, validation, lineage, and data promotion
Provide architectural leadership for Snowflake, DBT, Airflow, metadata platforms, and modernization initiatives
Define AI-assisted development standards, engineering patterns, and delivery frameworks
Develop enterprise architecture roadmaps for data platform modernization and cloud transformation
Design conceptual, logical, and physical data models for reporting, analytics, and operational use cases
Translate business and technical requirements into scalable, maintainable data solutions
Establish best practices for DataOps, DevOps, CI/CD, and automated deployment
Lead architecture reviews, technical design sessions, and modernization planning
Evaluate emerging technologies and recommend solutions to improve performance and scalability
Provide technical oversight, mentorship, and architectural direction to data engineering teams
Support project planning, roadmap development, estimation, and executive stakeholder engagements
Provide technical leadership for the EDW Foundry modernization program and partner with stakeholders and delivery teams

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related technical discipline
12+ years of experience in Data Architecture, Data Engineering, Data Warehousing, Business Intelligence, or related fields
7+ years designing and leading enterprise-scale data architecture and modernization initiatives
Extensive experience designing and implementing enterprise data warehouse solutions
Deep expertise in dimensional modeling, including star schemas, conformed dimensions, and Kimball-based architectures
Experience defining governance frameworks, metadata standards, data lineage, and data quality strategies
Experience designing cloud-native data platforms and modern lakehouse architectures
Strong knowledge of Snowflake architecture, data modeling, performance optimization, and enterprise implementation
Experience with DBT and modern ELT frameworks
Hands-on experience designing and implementing data integration and transformation pipelines
Strong SQL development and optimization skills
Experience developing architecture roadmaps and technical standards
Knowledge of Agile methodologies, SDLC processes, and large-scale technology delivery programs
Ability to lead cross-functional teams and mentor engineers, architects, and analysts
Experience communicating technical concepts to executive and non-technical stakeholders
Ability to translate complex business requirements into scalable enterprise data solutions
Preferred experience with Snowflake administration, Airflow, Data Mesh, Medallion Architecture, Microsoft Fabric, Azure data services, Kafka, CDC, metadata platforms, AWS data services, AI-assisted development, DataOps, DevOps, CI/CD, Python, BI platforms, cloud migration, POCs, and regulated or large-enterprise environments
Professional certifications listed as preferred include Microsoft Azure Data Engineer Associate, Azure Solutions Architect Expert, Snowflake Certification, AWS certifications, PMP, SAFe, and Certified Scrum Product Owner

Benefits

Comp & perks

Employee ownership
Continuous learning resources, training, and mentorship
Inclusive culture
Mission-driven work
Competitive salaries
Qualified overtime
Paid Time Off (PTO)
Flexible Holiday Leave (88 hours per year)
Parental Leave
Medical, Dental, Vision, and Life Insurance
Employee Stock Ownership Plan (ESOP)
401(k) Retirement Plan with 5% match on base compensation and immediate 100% vesting
Tuition Reimbursement & Learning Allowance
Referral Bonus Program (up to $5k)