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Overview: In this role you will lead end-to-end data architectures powering Google’s gUP ecosystem. You’ll shape the technical roadmap for large-scale data products, pipelines, and reporting systems, collaborating with Users and Product leadership to translate strategy into scalable solutions. You will tackle complex, ambiguous problems and deliver robust architectures that withstand evolving needs and AI-enabled automation. Your work will directly impact ad products and user experiences, enabling data-driven decisions at scale. Compensation / Benefits 15% bonus target equity benefits
Responsibilities: Define and steer architecture, roadmap, and priorities for large-scale data products, pipelines, and reporting systems. Navigate architectural constraints across data sources, interfaces, storage, and latency/throughput requirements. Identify and solve difficult technical problems with minimal oversight. Prototype and productionize AI/ML techniques to automate workflows in distributed data pipelines. Partner with Users, Product leadership, and cross-functional teams to translate business needs into data architectures.
Key requirements: 3 years of experience in data engineering, database architecture, or distributed systems Experience with data modeling, data warehousing, and ETL/ELT pipelines using SQL and languages such as Python, Java, or Go Experience translating business requirements into technical data architectures excellent written and verbal communication ability to influence cross-functional and executive partners mentoring junior engineers and establishing standards data modeling data warehousing ETL/ELT pipelines

Also on the board Same function, level within a rung

Level

Lead

Location

Boulder, CO

Occupation

Data Warehousing Specialists

Industry

Software Publishers

Posted

today

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