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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture and engineering, focusing on secure API development, data modeling, and integration within AWS environments. Proficient in implementing AI solutions and ensuring governed access to enterprise data.
Highest-signal resume keywords
Data ArchitectureAPI DevelopmentAWS Cloud ServicesData ModelingAI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData IntegrationMetadata ManagementSemantic Data IntegrationServerless ArchitecturesLLMsRAG SolutionsMCP IntegrationsVector Databases
Soft Skills
CollaborationCommunication
Tools & Technologies
AWS API GatewayAWS Data PlatformsAgileDevSecOpsCI/CD Practices
Certifications & Qualifications
AWS Certification in Data EngineeringAWS Certification in Solutions ArchitectureAWS Certification in Machine LearningAWS Certification in Generative AI
Industry Keywords
Enterprise Data ManagementFederal AgenciesGovernanceSemantic LayerEnterprise Knowledge Retrieval
Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Develop, maintain, and enhance an enterprise Semantic Layer
- Support data access, analytics, and AI-enabled applications for a federal client
- Design and implement secure, scalable APIs
- Integrate enterprise data sources
- Support cloud-based services on AWS
- Apply data modeling, metadata, and semantic data integration practices
- Implement emerging AI integration patterns, including LLMs, RAG, and MCP
- Collaborate with data architects, AI engineers, and business stakeholders
- Ensure reliable, consistent, and governed access to enterprise information
Requirements
What you’ll need- Bachelor’s degree in a related field or equivalent experience
- 8+ years of experience in data architecture, data engineering, or enterprise data management
- U.S. Citizenship
- Ability to obtain and maintain a government suitability clearance
- Experience developing and maintaining secure APIs within AWS API Gateway
- Expertise in data modeling, data integration, metadata management, governance, and AWS-based data platforms
- Strong hands-on experience with Python, SQL, APIs, and serverless architectures
- Experience implementing LLMs, RAG solutions, AI agents, MCP integrations, and AI evaluation methodologies
- Knowledge of vector databases, embeddings, semantic search, and enterprise knowledge retrieval
- Preferred: experience supporting federal agencies
- Preferred: experience with vector databases such as pgvector
- Preferred: AWS certification in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI
- Preferred: experience with Agile, DevSecOps, and CI/CD practices
Benefits
Comp & perks- Professional growth opportunities
- 100% remote work
- Autonomy and employee empowerment
- Collaborative, trust-based work environment