ParallelPalo Alto, CABuild and own data foundations powering model training, product development, and analytics at Parallel. Design scalable ingestion pipelines, storage/serving layers, quality/lineage/observability systems, and anticipate scaling needs in a fast-growing AI infrastructure company.
Own the architecture and standards for Cribl's analytics engineering platform using dbt. Build certified models, semantic layers, and governance practices to power trusted analytics, reporting, and AI decision-making across the business.
Build and maintain data pipelines, Snowflake data warehouse, and governance frameworks to support analytics, ML, and autonomy product development at Forterra. Requires 6+ years data engineering experience, expert SQL/Python, and modern data stack proficiency.
Lead design and implementation of scalable identity resolution and data governance platforms. Build pipelines for identity data management, ensure privacy compliance, and partner with teams to deliver reliable data services. Requires 5+ years Spark/Scala experience.
Manages a data engineering team while owning delivery of scalable, reliable enterprise data pipelines and lakehouse data products. The role requires 10+ years of software or data engineering experience, direct people management, and hands-on expertise with Databricks, Boomi/Rivery, Delta Lake, and Medallion architecture.
Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.