Data Engineer
Core
Design, build, and optimize scalable data platforms, pipelines, and analytics solutions to enable data-driven decision-making and AI initiatives across the enterprise.
Role type
Senior Data Engineer (Enterprise Analytics & AI Enablement)
Builds
Scalable data pipelines, curated semantic layers, governed datasets, and AI-enabled analytics capabilities (RAG, vector search, semantic search)
Domain
Enterprise Data Engineering, AI/ML Infrastructure, Cloud-Native Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling, Databricks, Delta Lake, Spark, cloud-native technologies, CI/CD, Infrastructure as Code, automated testing, data lifecycle management
Preferred skills
Experience with natural language query platforms, semantic search, knowledge repositories
Technologies
Databricks, Delta Lake, Spark, SQL
Responsibilities
Design and maintain scalable data pipelines and enterprise data models; Build modern data architectures for high-performance analytics; Develop semantic layers and governed datasets for self-service and conversational AI; Partner with stakeholders to translate business requirements into data solutions; Establish data quality, lineage, and governance frameworks; Optimize data performance and reduce technical debt; Support AI-enabled analytics including RAG and vector search.
Seniority
Senior, hands-on IC