Senior AI Data Engineer
Core
Lead the design, development, and operation of reliable, scalable data platforms and products for analytics, reporting, and AI use cases.
Role type
Senior IC data engineer with technical leadership
Builds
Scalable batch and streaming data pipelines, data products, and lakehouse solutions
Domain
Cloud data platforms, distributed processing, Generative AI data patterns
Deliverable
production ML models
Required skills
Python, PySpark, SQL, cloud data architecture, lakehouse concepts, ETL/ELT pipelines, data modeling, data quality, observability, Git/CI/CD
Preferred skills
Generative AI/LLMs, embeddings, vector search, RAG, AI-assisted engineering
Technologies
GCP, Azure, Databricks, BigQuery, Azure Data Lake
Responsibilities
Lead architecture of scalable data pipelines and lakehouse solutions; translate business/AI requirements into technical designs; build production-grade data solutions; establish reusable engineering patterns; guide data modeling; define standards for coding, testing, and CI/CD; own reliability and performance outcomes; implement data quality controls; partner on security and governance; lead migration to cloud; mentor engineers; break down initiatives and manage delivery; resolve production issues; prepare governed datasets for AI.
Seniority
Senior, hands-on IC with leadership
