CloudGoogle Cloud PlatformSQLAIData EngineeringLookerGCPGoogle CloudVertex AILeadershipRemote Work
About this role
Role Overview
Maintain, add to, and improve foundational scripts and pipelines that join raw data from Engineering, setting analysts up for success to develop reports, visuals, and insights.
Provide technical leadership on Looker/GCP deployment architecture, development guidelines, data delivery layer, optimization efforts, access configurations, and AI usage.
Perform data modeling across multiple business domains to unlock efficient analytical problem-solving and deep dives
working with large, complex data sets.
Collaborate with a wide variety of cross-functional partners, including senior management, to understand business needs, formulate, and complete end-to-end data intelligence infrastructure.
Manage the team workload and bandwidth, communicating expected quarterly deliverables, adhoc asks, and updating timelines.
Requirements
8 years of experience in data modeling/architecture, pipeline optimization, data engineering.
Experience supporting a central support arm for data communities, including the setting up projects, Vertex AI, data sets, data form reports, etc in Google Cloud Platform (GCP).
Experience leveraging SQL for data manipulation and optimization.
2 years of leadership in a technical role, with management experience