Lead Data Engineer - AI-Powered Data Pipelines

Google; Boulder (CO); On-site; USD 156,000 - 226,000; Full time

Job summary

Google's gUP Engineering is seeking a Data Engineer to drive technical direction and own end-to-end data architectures that power support and product experiences across Google's ecosystem.

You will scope nebulous data challenges, mentor engineers, and help scale data workflows, telemetry, and AI/ML integration to deliver actionable insights at scale.

Join a collaborative team that partners with engineering, product, and data science leaders to align roadmaps and push data infrastructure forward.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years designing data pipelines and dimensional data modeling for synchr and asynch system integration and implementation using internal (e.g., Flume) and external stacks (DataFlow, Spark, etc.).
• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Responsibilities

• Own the architecture, technical roadmap, and priorities for large-scale data products, pipelines, and reporting systems within gUP.
• Scope difficult, nebulous technical problems and deliver robust, optimal solutions without needing continual oversight or steering.
• Lead complex architectural constraints across data sources, target interfaces, storage systems, and latency/frequency requirements while building components that scale cleanly.
• Leverage AI and machine learning techniques to automate workflows and productionize models within large-scale distributed data processing pipelines.
• Partner directly with Users and Products leadership and cross-functional teams to translate strategic business needs into technical data architecture roadmaps.

Skills

Data pipelines

Dimensional data modeling

Programming

Data infrastructure

Education

Bachelor's degree or equivalent practical experience

Tools

Flume

DataFlow

Spark

Job description

Google's gUP Engineering is seeking a Data Engineer to drive technical direction and own end-to-end data architectures that power support and product experiences across Google's ecosystem.

You will scope nebulous data challenges, mentor engineers, and help scale data workflows, telemetry, and AI/ML integration to deliver actionable insights at scale.

Join a collaborative team that partners with engineering, product, and data science leaders to align roadmaps and push data infrastructure forward.