Data Engineering SMTS/LMTS- Revenue Analytics
Core
Lead the design, execution, and optimization of end-to-end data pipelines and AI-enabled agentic workflows for enterprise decision-making.
Role type
Lead Member of Technical Staff (LMTS), hands-on data engineering lead
Builds
Resilient data pipelines, API integration layers, and autonomous agent workflows
Domain
Enterprise SaaS, Data Engineering, AI/Agentic Systems
Deliverable
production ML models
Required skills
Python, SQL, Snowflake, dbt, Apache Airflow, Node.js, TypeScript, AWS, Kubernetes, CI/CD, LangChain, Model Context Protocol (MCP)
Preferred skills
Data Mesh concepts, Dimensional modeling, OAuth2/SSO, Terraform
Responsibilities
Lead end-to-end data pipeline design and execution; Define data ingestion, transformation, and orchestration patterns; Design and maintain API integration components and middleware; Implement agentic capabilities and integrate MCP servers; Establish testing strategies, CI/CD pipelines, and operational observability; Mentor senior engineers and conduct code reviews
Seniority
Senior, hands-on IC with leadership responsibilities
