Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Design scalable enterprise data architectures, data lakes, warehouses, and analytics platforms on AWS.

• Develop logical, physical, and dimensional data models.

• Establish standards for data governance, quality, security, and metadata.

• Construct and enhance data pipelines, ETL/ELT processes, APIs, and serverless solutions utilizing AWS, Python, and SQL.

• Create and implement AI-enabled solutions, such as RAG, LLM integrations, AI agents, and MCP-based architectures.

• Develop frameworks for AI evaluation to assess model accuracy, retrieval quality, safety, and business impact.

• Collaborate with stakeholders to convert business requirements into scalable technical solutions.

• Provide architectural leadership, recommend technologies, and offer technical oversight across Agile teams.

⛳️ Requirements

• Bachelor's degree in a related discipline or equivalent experience.

• Over 8 years of experience in data architecture, data engineering, or enterprise data management.

• Proficiency in data modeling, data integration, metadata management, governance, and AWS-based data platforms.

• Strong practical experience with Python, SQL, APIs, and serverless architectures.

• Experience in implementing LLMs, RAG solutions, AI agents, MCP integrations, and methodologies for AI evaluation.

• Familiarity with vector databases, embeddings, semantic search, and enterprise knowledge retrieval.

• Excellent communication and stakeholder engagement abilities.

• U.S. Citizenship is required.

• Capability to obtain and maintain a federal suitability clearance.

• Preferred: experience in supporting federal agencies.

• Preferred: experience with vector databases such as pgvector.

• Preferred: AWS certifications in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.

• Preferred: experience with Agile, DevSecOps, and CI/CD practices.

🏝️ Benefits

• 100% remote work.

• Opportunities for professional growth.

• Employee autonomy and empowerment.

• A collaborative, trust-based, and transparent work environment.