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Data Architect
Anika SystemsData Architect leading design and implementation of enterprise data architectures for federal clients. Shaping data strategy and enabling data-driven decision-making with cloud platforms.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in designing and implementing enterprise data architectures, with a strong focus on data modeling, integration of AI/ML capabilities, and adherence to data governance standards. Proven ability to support federal data strategy initiatives and enhance data-driven decision-making processes.
Highest-signal resume keywords
Data ArchitectureData ModelingAI/ML IntegrationAWS Data ServicesData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data ArchitectureData EngineeringData ManagementData ModelingEntity Relationship DiagramsKnowledge GraphsMetadata ManagementData CatalogingData QualityData Lifecycle Management
Soft Skills
Stakeholder EngagementStrategic ThinkingCollaboration
Tools & Technologies
AWS S3AWS GlueAWS RedshiftAWS Lake FormationApache SparkApache IcebergApache HiveAI-Assisted Tools
Industry Keywords
Federal ClientsOffice of the Chief Data OfficerData StrategyData Quality FrameworksData Observability
Tech Stack
Tools & technologiesAmazon 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