Data Engineering Lead, Google Trust and Safety

1 Day ago • 10-18 Years • Data Analyst • $180,000 PA - $267,000 PA

Job Summary

Job Description

This Data Engineering Lead role within Google Trust and Safety requires designing and developing data infrastructure to support metrics and measurement for various Google products. Responsibilities include leading a team, setting priorities, providing performance feedback, understanding business processes, designing data infrastructure for reporting, implementing analytics solutions, collaborating with stakeholders, and writing technical documentation. The role focuses on solving business performance challenges and meeting regulatory reporting requirements using Google's large-scale production data infrastructure. The successful candidate will ensure stakeholders have the data needed for effective business decisions.
Must have:
  • 10+ years data infrastructure experience
  • 5+ years coding & data pipeline design
  • 3+ years people management
  • Dimensional data modeling expertise
  • Lead and develop data infrastructure
Good to have:
  • 5+ years stakeholder management
  • 5+ years experience with BI tools
  • 5+ years project planning & delivery
  • 3+ years experience with Machine Learning
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

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:

  • 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.
  • 5 years of experience developing project plans and delivering projects on time.
  • 3 years of experience with Machine Learning for production workflows.

About the job

gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

As part of this team, you will be responsible for designing and developing the data infrastructure needed to support metrics and measurement capabilities for Trust and Safety across various Google products, including Search, Ads, Play, Shopping, Publishers, and YouTube business generation. You will ensure stakeholders have the product, support, and operations data they need to make business decisions. You will have the opportunity to design data solutions and solve problems using Google’s large-scale production data infrastructure to drive business optimization and meet regulatory reporting requirements.

The US base salary range for this full-time position is $180,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Lead a team of individuals, set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
  • Understand the business processes, tools and customer expectations and design. Develop data infrastructure to support reporting needs.
  • Design, implement, test, optimize and troubleshoot analytics and reporting solutions to solve business performance management challenges as well as to meet regulatory reporting requirements.
  • Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meets constantly evolving requirements.
  • Write and review technical documents, including design, requirements, and process documentation.

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