Senior Lead Data Engineer
Core
Senior data engineer designing and building end-to-end data and AI solutions for client analytical consumption, including ingestion, storage, processing, and LLM-powered implementations.
Role type
Senior Lead Data Engineer (hands-on IC with leadership)
Builds
Data warehouses, data lakes, data pipelines, and agentic/LLM-powered solutions
Domain
Data Engineering, Cloud Platforms, AI/LLMs
Deliverable
production ML models
Required skills
SQL, Python, Cloud data platforms (Azure/AWS/GCP), Data Warehousing, ETL/ELT, Data Modeling, Workflow Orchestration, Data Quality, Streaming, NoSQL, BI tools
Preferred skills
LLM/Agentic solutions, DataOps, MLOps, Containerization, Big Data ecosystem
Technologies
Azure Synapse/Fabric, AWS Glue, Snowflake, Databricks, dbt, Airflow, Kafka, Spark, Power BI, LangGraph, Docker, Kubernetes
Responsibilities
Design and implement data pipelines and warehouses; Engage clients to elicit requirements and create technical proposals; Select and justify analytical architectures; Lead hands-on implementation and performance tuning; Build data strategies and mentor teams; Implement data governance and security; Optimize cloud costs.
Seniority
Senior, hands-on IC with leadership