As a Data Engineering Manager, you will lead and empower a high-performing team of data engineers, fostering a culture of technical excellence, continuous mentorship, and process innovation. You will act as a strategic partner for stakeholders, prioritizing initiatives that drive automation, enhance data infrastructure, and ensure the delivery of high quality data products. Ultimately, your leadership will directly enable the YouTube content partnerships and creator ecosystem, equipping business leadership with the critical insights needed to optimize the effectiveness and efficiency of the YouTube partner-facing business teams.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
Responsibilities
- Establish and clearly articulate team strategy that drives the organization's overarching goals and decision-making across functional groups. Define the technical goal continuously adapting it to anticipate future business requirements and infrastructure scalability.
- Build and refine robust internal processes to govern project prioritization, the end-to-end development lifecycle, and ongoing operational support.
- Lead a high-performing team of data engineers by providing technical guidance, establish best practices, and manage task allocation through an agile roadmap that adapts to evolving stakeholder demands.
- Partner effectively with cross-functional stakeholders. Steer the complete lifecycle of data products, direct your team in the design, development, and ongoing maintenance of data assets specific to YouTube partnerships data.
- Shape the strategic narrative for executive leadership by delivering insights to key decision-makers, automating the insight-gathering process, and translating complex technical analyses into clear communications.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
- 5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks.
- 3 years of experience in a people management, supervision, or team leadership role.
Preferred qualifications:
- 10 years of experience in business intelligence, analytics, and data engineering related fields.
- 5 years of experience developing project plans and delivering projects on time within budget and scope.
- 5 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
- 5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
- 3 years of experience with machine learning for production workflows.
- Experience in programming and SQL, and with building, developing, and leading a team.