Architect

📋 Description

• Develop and maintain end-to-end data and AI strategy and patterns
• Mentor engineers and technical leadership with clear patterns
• Lead architecture decisions via ADRs, standards, and reviews
• Oversee architecture reviews, code reviews, and performance
• Foster collaboration, knowledge sharing, and learning
• Enable governed data consumption with data contracts and datasets

🎯 Requirements

• Bachelor's or Master's in Computer Science, Software Engineering, or a related field
• 7+ years in software architecture and enterprise systems
• 4+ years in data engineering and AI platform design
• Proficiency in Python, SQL, and Jupyter Notebooks
• Experience with AWS Glue, Spark, Snowflake
• Experience with LangChain, LlamaIndex, LangGraph and LangFuse

🎁 Benefits

• Experience operating in regulated environments (SOC2, ISO 27001, or GDPR)
• Familiarity with federated domain ownership models for data products
• Designing and scaling platform observability for data pipelines
• Familiarity with medallion architecture patterns
• Streaming: Kafka, MSK, Kinesis, Pub/Sub
• Metadata and governance: DataHub, Atlan or similar