Data Engineer 5 (Python, SQL, Databricks, Snowflake) (Enterprise Platforms Technology)
Core
Architect, build, and scale resilient, scalable data pipelines and real-time streaming architectures to supply data to AI/ML applications and Large Language Models (LLMs), serving executive leadership and strategy.
Role type
Senior IC data engineer (AI-enabling data ecosystem)
Builds
Production-ready data pipelines, feature stores, and decisioning engines for executive-level predictive models
Domain
Enterprise finance, AI/ML infrastructure, data warehousing
Deliverable
production ML models
Required skills
Python, SQL, distributed data systems, data pipeline design, data modeling, relational and non-relational databases
Preferred skills
Public cloud platforms (AWS, Azure, GCP), real-time streaming applications, data warehousing (Snowflake), interactive AI tooling
Technologies
Python, SQL, Databricks, Snowflake
Responsibilities
Architect and build clean, latency-optimized data pipelines for AI/ML and LLMs; guide junior engineers on coding standards and design patterns; implement data governance, security, and lineage tracking; build and maintain scalable feature stores; optimize cross-cloud data pipelines and storage infrastructure; partner with stakeholders to deliver executive data solutions
Seniority
Senior, hands-on IC
