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Chenega

Defense, intelligence, and federal staffing services

Data Architect

Database AdministrationConfirmed live in the last 24 hours
Full-timeArlington County, Arlington, VA, USA$192.7k - $245k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, Information Systems, Engineering, Data Management, or a related technical field is required; equivalent relevant experience may be considered.
  • At least 10 years of progressive experience in data architecture, database engineering, database administration, cloud architecture, or related technical roles.
  • At least 5 years of experience designing, implementing, and supporting enterprise relational database solutions.
  • Demonstrated experience with AWS RDS and AWS-native database services.
  • Experience designing and supporting cloud-based data solutions in AWS and/or Microsoft Azure.
  • Experience with database modernization initiatives, including migration from legacy or IaaS-hosted databases to managed, cloud-native, or containerized platforms.
  • Experience with container technologies and orchestration platforms such as Docker, Kubernetes, Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), OpenShift, or equivalent platforms.
  • Experience implementing DevSecOps practices, CI/CD pipelines, Infrastructure as Code, and configuration-management practices in enterprise environments.
  • Experience consolidating and modernizing fragmented organizational data, including legacy databases, file shares, document repositories, and research data sets, into governed, cataloged, and analytically ready platforms such as data warehouses, data lakes, or lake houses.
  • Security certifications such as Certified Data Management Professional (CDMP), CISSP, CCSP, or equivalent.
  • DoD Top Secret clearance with ability to obtain SCI.
  • Demonstrated expertise with Microsoft SQL Server, including high availability, backup and recovery, performance tuning, security, replication, and lifecycle management.
  • Knowledge of data architecture principles, including logical and physical data modeling, metadata management, data governance, data integration, data quality, retention, and lifecycle management.
  • Knowledge of high availability, disaster recovery, backup, restoration, replication, encryption, database auditing, and performance monitoring.
  • Ability to produce clear technical documentation, architecture diagrams, migration roadmaps, and decision-ready recommendations.
  • Advanced knowledge of multi-cloud data architecture, with demonstrated skill designing and implementing secure, scalable, and resilient data solutions across AWS and Azure, including for IL4 and IL6 environments.
  • Expertise in database modernization strategies, including leading migrations from IaaS-hosted databases such as SQL Server to managed cloud-native services such as AWS RDS and containerized platforms such as Kubernetes.
  • Ability to develop and implement data governance frameworks covering data modeling, metadata management, data quality, and lifecycle management to consolidate and organize disparate data sources into analytically usable forms.
  • Skill applying DevSecOps principles to data platforms, including Infrastructure as Code (IaC), CI/CD pipelines, and automation to manage and deploy database services securely and efficiently.
  • Ability to create clear technical documentation, present complex architectural decisions to technical and non-technical stakeholders, and mentor engineering teams.

Responsibilities

  • Develop and maintain the target-state data architecture, roadmap, standards, and reference patterns for DARPA ITD multi-cloud environments.
  • Assess existing relational database platforms, including Microsoft SQL Server and AWS RDS, and other data stores such as shared file systems and ad hoc research repositories; develop modernization recommendations for performance, availability, security, lifecycle management, and cost optimization.
  • Design secure, scalable, highly available, and resilient data solutions supporting AWS, Azure, IL4, and IL6 environments.
  • Lead architecture decisions related to database modernization, containerized database platforms, managed database services, data replication, backup and recovery, disaster recovery, and cross-environment data integration, including patterns to integrate legacy file shares and heterogeneous research data sources into enterprise data platforms.
  • Define architectural patterns for transitioning appropriate database workloads from traditional IaaS deployments to container-based solutions, including Kubernetes-based platforms.
  • Establish data architecture standards for database provisioning, configuration management, schema management, data lifecycle management, encryption, auditing, logging, monitoring, and operational support.
  • Partner with cloud architects, cybersecurity personnel, infrastructure engineers, application teams, DevSecOps engineers, and program stakeholders to align data solutions with enterprise architecture and mission requirements.
  • Ensure data platform designs support applicable DoW cybersecurity, risk-management, security-control, identity, access-control, logging, and continuous-monitoring requirements.
  • Develop Infrastructure as Code (IaC), automation, and repeatable deployment patterns for database and data-platform services.
  • Evaluate commercial cloud-native, open-source, and government-approved data technologies; prepare technical recommendations, trade studies, decision papers, and implementation plans.
  • Support architecture reviews, technical design reviews, modernization working groups, and senior-leader briefings.
  • Develop technical documentation, including data models, logical and physical data architectures, interface specifications, operating procedures, reference architectures, and migration plans.
  • Provide technical leadership and mentorship to engineers and administrators supporting database and data-platform operations.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience supporting DARPA, DoW, Intelligence Community, or other federal national-security environments.
  • Experience supporting IL4, IL5, IL6, classified, or similarly controlled cloud environments.
  • Experience with Azure SQL, Azure Database for PostgreSQL, Amazon Aurora, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch/OpenSearch, or other modern data platforms.
  • Experience implementing database platforms on Kubernetes using operators, Helm, GitOps, service meshes, and policy-as-code.
  • Experience with Zero Trust Architecture, identity and access management, privileged access management, encryption key management, and security logging for enterprise data platforms.
  • Experience with RMF processes, security-control implementation, authorization packages, vulnerability remediation, and continuous monitoring.
  • Experience with data cataloging, metadata management, data governance, and enterprise data strategy.
  • Experience conducting technology evaluations, migration assessments, cost analyses, and technical trade studies.
  • Experience building databases leveraging AI, LLM, and RAG solutions.

About the Company

Chenega

Defense, intelligence, and federal staffing services

Chenega is a government services contractor that supplies staffing and support services for defense, intelligence, and federal civilian customers, plus commercial clients. It operates across the United States, its territories, and several countries, tapping wide opportunities in government contracting. Its offerings center on staffing and mission support through various contracts, delivering qualified personnel and services to meet client needs. Unlike many industry players, Chenega is rooted in an Alaska Native village corporation, which shapes its ownership and community-focused approach while competing in a broad national market. The company’s goal is to help government and commercial customers execute their missions by providing reliable, professional personnel and services under contract.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Anchorage, AK
Founded
1974

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