Data Engineering SMTS/LMTS
Core
Lead Member of Technical Staff (LMTS) serving as a primary technical execution lead for high-impact data engineering projects, building resilient pipelines, and integrating data platforms with full-stack systems and agentic workflows.
Role type
Senior IC machine-learning engineer (data engineering & agentic systems)
Builds
End-to-end data pipelines, data products, API integration components, and AI-enabled agentic workflows
Domain
Enterprise data platforms, AI/ML, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, dbt, Apache Airflow, Snowflake, Node.js, TypeScript, REST APIs, GraphQL, Kafka, AWS, Docker, Kubernetes, Terraform, LangGraph, LangChain, Model Context Protocol (MCP)
Preferred skills
Data Mesh concepts, Dimensional modeling, CI/CD, Infrastructure as Code
Responsibilities
Lead design and execution of end-to-end data pipelines for batch and event-driven workloads; Define patterns for data ingestion, transformation, orchestration, and storage; Design and maintain lightweight API integration components and middleware; Implement enterprise-controlled agentic capabilities and AI-enabled workflows; Establish testing strategies, CI/CD pipelines, and operational observability; Conduct code reviews and mentor Senior and Associate Engineers
Seniority
Senior, hands-on IC
