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Anika Systems

Data Architect

Anika Systems

Data Architect leading design and implementation of enterprise data architectures for federal clients. Shaping data strategy and enabling data-driven decision-making with cloud platforms.

Posted 6/30/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
Amazon RedshiftApacheAWSSpark

About the role

Key responsibilities & impact
  • Lead the design and implementation of enterprise data architectures supporting federal clients
  • Shape data strategy and enable data-driven decision-making
  • Support the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations
  • Develop and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs)
  • Define and enforce standards for data integration, data quality, and data lifecycle management
  • Lead or support stakeholder listening campaigns to gather input from executives, data leaders, and practitioners across the enterprise

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field or comparable experience
  • 8+ years of experience in data architecture, data engineering, or enterprise data management
  • Demonstrated experience integrating AI/ML or generative AI capabilities into data platforms
  • Hands-on experience with: AWS data services (e.g., S3, Glue, Redshift, Lake Formation) Apache technologies (e.g., Spark, Iceberg, Hive) Relational databases
  • Strong expertise in data modeling and ERD development
  • Experience designing or implementing Knowledge Graphs, ontologies, or semantic data models
  • Familiarity with Graph-based retrieval approaches (e.g., GraphRAG or similar patterns)
  • Experience implementing metadata management, data cataloging, and data governance solutions
  • Demonstrated experience supporting federal data strategy initiatives or OCDO organizations
  • Strong understanding of data quality, lineage, observability, and AI data readiness frameworks
  • Proficiency with AI-assisted tools and workflows (e.g., LLM copilots, automated code generation, data augmentation tools)
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.

Benefits

Comp & perks
  • 100% remote
  • Empowerment in delivering customer success
  • Opportunities for professional growth

ATS Keywords

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Hard Skills & Tools
Data ArchitectureData EngineeringData ManagementData ModelingEntity Relationship DiagramsKnowledge GraphsMetadata ManagementData CatalogingData QualityData Lifecycle Management
Soft Skills
Stakeholder EngagementStrategic ThinkingCollaboration