Principal Engineer (Data & Architecture)

• Principal-level professional with 5+ years of end-to-end ownership of enterprise data architectures on AWS
• C1 English level or higher (written and spoken)
• Deep hands-on expertise across AWS data services, with judgment to select the right tool per use case (object storage, transactional DBs, analytical engines, vector stores).
• Production experience with AWS voice / contact center infrastructure and integrating it into downstream data pipelines.
• Experience evaluating technical decisions on Salesforce migrations (custom objects, APIs, integration patterns, headless approaches).
• Proven experience designing AI grounding and retrieval systems for LLMs in production (RAG, embeddings, retrieval pipelines).
• Experience with multi-model orchestration: sequencing model outputs, preventing data conflicts, coordinating agents.
• AWS cost architecture: reading bills, projecting costs, identifying cheaper alternatives.
• Demonstrated track record of pushing back on vendor or consulting proposals for cloud migrations

Skills

• WS Data Architecture
• S3
• DynamoDB
• Data Lakes
• AWS Bedrock
• Lambda
• Step Functions
• Amazon Connect
• Salesforce Data Architecture
• Salesforce REST API
• Bulk API
• Streaming API
• Bidirectional Data Sync
• RAG Pipelines
• Embedding Strategies
• LLM Retrieval Architecture
• Multi-Model Orchestration
• Agent Orchestration
• AWS Cost Optimization
• Python
• Cloud Migration Architecture
• Serverless Patterns
• AWS Data Architecture
• Bullk API
• Biderectional Data Sync
• Bedrock