Senior Data Engineer
Core
Designing and expanding enterprise-level data infrastructure to enable comprehensive data interaction, extraction, exploration, and insight generation for internal teams and AI applications.
Role type
Senior IC data engineer (data infrastructure & AI enablement)
Builds
Enterprise data warehouse, lakehouse, and high-performance data pipelines serving as the single source of truth for customer data.
Domain
B2B SaaS / Data Infrastructure / AI/LLM Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Expert SQL, Python (distributed computing), DBT, Snowflake, Airflow, Kafka, Terraform, Data Mesh concepts, LLM data integration (MCP/RAG)
Preferred skills
LLMOps, LangChain, RAG pipelines, Embedding models, Named Entity Recognition (NER), Data cataloging tools, DynamoDB, Flink
Technologies
Snowflake, Airflow, DBT, Python, Kafka, Terraform, GCP, AWS
Responsibilities
Design, develop, and maintain high-performance data pipelines; Architect and optimize massive-scale data warehouse and lakehouse; Lead integration of diverse structured and unstructured data sources; Implement Model Context Protocol (MCP) architectures for LLM-powered products; Define, monitor, and enforce data quality SLAs; Mentor junior engineers; Participate in architectural decisions and long-term strategy planning.
Seniority
Senior, hands-on IC with leadership responsibilities
