Data Architect

Location: Remote

• Design scalable enterprise data architectures, data lakes, warehouses, and analytics platforms on AWS.
• Develop logical, physical, and dimensional data models and establish data governance, quality, security, and metadata standards.
• Build and optimize data pipelines, ETL/ELT processes, APIs, and serverless solutions using AWS, Python, and SQL.
• Design and implement AI-enabled solutions, including RAG, LLM integrations, AI agents, and MCP-based architectures.
• Develop AI evaluation (Evals) frameworks to measure model accuracy, retrieval quality, safety, and business impact.
• Collaborate with stakeholders to translate business needs into scalable technical solutions.
• Provide architectural leadership, technology recommendations, and technical oversight across Agile teams.

• Bachelor’s degree in a related field or equivalent experience.
• 8+ years of experience in data architecture, data engineering, or enterprise data management.
• 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.
• Strong communication and stakeholder engagement skills.
• U.S. Citizenship required; ability to obtain and maintain a federal clearance.

• Experience supporting federal agencies.
• Experience with vector databases (e.g. pgvector).
• AWS certifications in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.
• Experience with Agile, DevSecOps, and CI/CD practices.