Related skills
aws spark langgraph lakehouse langfuse📋 Description
- Lead AI-Ready Data Platform architecture and delivery.
- Establish data architecture patterns and modeling standards.
- Oversee key platform projects and cross-product data efforts.
- Mentor and lead teams; ensure data engineering excellence.
- Drive best practices for AI-Ready data interoperability.
- Architect for data observability, quality, and audit readiness.
🎯 Requirements
- 10+ years in software development and data engineering; 5+ in senior leadership.
- AWS cloud-native data platforms; lakehouse/medallion; ETL/ELT; Spark/Trino.
- Production AI data workflows: embeddings, vector retrieval, RAG, real-time data.
- AI platform integration/orchestration with LangGraph, Langfuse, MCP, AWS Bedrock, AgentCore.
- Hands-on with MongoDB, DocumentDB, MS SQL Server, DynamoDB, Redis/Valkey.
- AWS data services: S3, Athena, Glue, Lake Formation, OpenSearch Serverless; observability.
🎁 Benefits
- 100% remote work with strong work-life balance.
- Competitive compensation above market average.
- Health and life Insurance; retirement plans.
- Budget for training and professional growth.
- 5 personal time off days per year.
- Mentorship by a highly experienced professional; open culture.
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