Data Engineer / Data Architect
Core
Design and build production-grade enterprise data architecture and Databricks lakehouse solutions to support reporting, AI, analytics, and internal applications.
Role type
Senior Data Engineer / Data Architect (hands-on IC with technical leadership)
Builds
Scalable enterprise data platforms, reliable ETL/ELT pipelines, governed data services, and trusted data models for AI/ML.
Domain
Enterprise data engineering, AI/ML infrastructure, cloud data platforms
Required skills
Databricks, Apache Spark, data pipeline design, data modeling, system architecture, SQL, Python, data governance, ETL/ELT development, data quality engineering, incident management, technical standards definition
Preferred skills
Lakehouse architecture, real-time event processing, AI/ML data strategy, vendor integration review, cross-functional technical leadership
Technologies
Databricks, Apache Spark, SQL, Python, ETL/ELT tools, orchestration tools
Responsibilities
Assess data environments and design scalable enterprise architecture; build production-grade Databricks lakehouse solutions and ETL/ELT pipelines; integrate data from diverse business systems; design resilient data systems handling failures and schema changes; implement automated data-quality checks and monitoring; establish data governance standards and security controls; partner with AI and product teams to advance data initiatives; lead technical reviews and improve data collection/sharing practices.
Seniority
Senior, hands-on IC with technical leadership
