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Data Engineer Lead - WebOps - Web Analytics

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Lead, mentor, and code-review a team of data and web analytics engineers

  • Design and optimize scalable data warehouses and ETL/ELT pipelines

  • Orchestrate data workflows on Google Cloud, especially BigQuery and Dataflow

  • Deliver enterprise dashboards in Looker with business partners

From the employer’s posting
Lead, mentor, and code-review a team of Data Engineers and Web Analytics Engineers.
Oversee the end-to-end design, development, and optimization of scalable data warehouses and pipelines (ETL/ELT).
Act as the hands-on authority for orchestrating data workflows via Google Cloud Infrastructure especially BigQuery & Dataflow
deliver impactful enterprise dashboards via tools like Looker

What you’ll bring

All qualifications

Core experience

  • 12+ years of hands-on experience designing, testing, optimizing, and troubleshooting enterprise-grade ETL/ELT solutions.
  • 4+ years of hands on experience with GCP infrastructure, BigQuery and Cloud Dataflow.
  • 3+ years of experience working with OLAP systems, advanced SQL, and data modeling.

Preferred experience

  • Deep expertise in Google Cloud Platform (GCP) or similar large-scale distributed data infrastructure.
  • Strong understanding of the AI toolkits similar to ADK, Anti Gravity, Vertex AI Agent Engine etc.
  • Strong experience designing data warehouses tailored specifically for business performance management.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field.
Qualification wording
12+ years of hands-on experience designing, testing, optimizing, and troubleshooting enterprise-grade ETL/ELT solutions.
4+ years of hands on experience with GCP infrastructure, BigQuery and Cloud Dataflow.
3+ years of experience working with OLAP systems, advanced SQL, and data modeling.
Deep expertise in Google Cloud Platform (GCP) or similar large-scale distributed data infrastructure.
Strong understanding of the AI toolkits similar to ADK, Anti Gravity, Vertex AI Agent Engine etc.
Strong experience designing data warehouses tailored specifically for business performance management.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field.
Education & alternatives
- Strong experience designing data warehouses tailored specifically for business performance management. - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field. Benefits

Benefits in the posting

Full benefits wording
  • We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
  • We support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums
  • Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy.
  • Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

From the employer’s posting.

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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1
Employer says posted
Oct 28, 2026

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • BigQuery
  • GCP
  • Looker
  • NoSQL
Where the posting names them
Position Responsibilities: - Lead, mentor, and code-review a team of Data Engineers and Web Analytics Engineers. Foster a culture of technical excellence, continuous learning, and agile delivery utilizing Advanced SQL, BigQuery, Java & Python - Oversee the end-to-end design, development, and optimization of scalable data warehouses and pipelines (ETL/ELT). Act as the hands-on authority for orchestrating data workflows via Google Cloud Infrastructure especially BigQuery & Dataflow
- 4+ years of hands on experience with GCP infrastructure, BigQuery and Cloud Dataflow. - 3+ years of experience working with OLAP systems, advanced SQL, and data modeling. - Proven track record of managing technical teams, driving agile sprints, and managing multiple complex data projects in a fast-paced environment.
- Lead, mentor, and code-review a team of Data Engineers and Web Analytics Engineers. Foster a culture of technical excellence, continuous learning, and agile delivery utilizing Advanced SQL, BigQuery, Java & Python - Oversee the end-to-end design, development, and optimization of scalable data warehouses and pipelines (ETL/ELT). Act as the hands-on authority for orchestrating data workflows via Google Cloud Infrastructure especially BigQuery & Dataflow - Own the integrity and scalability of our distributed data processing systems within Google Cloud Platform (GCP), leveraging various NoSQL databases to maintain high performance.
- 12+ years of hands-on experience designing, testing, optimizing, and troubleshooting enterprise-grade ETL/ELT solutions. - 4+ years of hands on experience with GCP infrastructure, BigQuery and Cloud Dataflow. - 3+ years of experience working with OLAP systems, advanced SQL, and data modeling.
At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us! As a Data Engineering Lead, you will lead a high-performing team of Data Engineers and Web Analytics Engineers, collaborating directly with Business stakeholders and product marketers. Your goal would be to ensure seamless data flow of website analytics into Google Cloud Platform. This role offers the unique opportunity to design innovative data solutions and solve complex scalability challenges using large-scale production data infrastructure, while pioneering our team's LLM and Generative AI initiatives.
- Oversee the end-to-end design, development, and optimization of scalable data warehouses and pipelines (ETL/ELT). Act as the hands-on authority for orchestrating data workflows via Google Cloud Infrastructure especially BigQuery & Dataflow - Own the integrity and scalability of our distributed data processing systems within Google Cloud Platform (GCP), leveraging various NoSQL databases to maintain high performance. - Architect the technical translation of high-level business requirements into scalable AI and data solutions, ensuring seamless alignment across cross-functional engineering teams.
Preferred Qualifications: - Deep expertise in Google Cloud Platform (GCP) or similar large-scale distributed data infrastructure. - Strong understanding of the AI toolkits similar to ADK, Anti Gravity, Vertex AI Agent Engine etc.
- Architect the technical translation of high-level business requirements into scalable AI and data solutions, ensuring seamless alignment across cross-functional engineering teams. - Partner with business pillars to prioritize product initiatives, resolve technical bottlenecks, and deliver impactful enterprise dashboards via tools like Looker. Minimum Qualifications:

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Job description

View original posting ↗

Join Us!

At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!

As a Data Engineering Lead, you will lead a high-performing team of Data Engineers and Web Analytics Engineers, collaborating directly with Business stakeholders and product marketers. Your goal would be to ensure seamless data flow of website analytics into Google Cloud Platform.

This role offers the unique opportunity to design innovative data solutions and solve complex scalability challenges using large-scale production data infrastructure, while pioneering our team's LLM and Generative AI initiatives.

Position Responsibilities:

  • Lead, mentor, and code-review a team of Data Engineers and Web Analytics Engineers. Foster a culture of technical excellence, continuous learning, and agile delivery utilizing Advanced SQL, BigQuery, Java & Python

  • Oversee the end-to-end design, development, and optimization of scalable data warehouses and pipelines (ETL/ELT). Act as the hands-on authority for orchestrating data workflows via Google Cloud Infrastructure especially BigQuery & Dataflow

  • Own the integrity and scalability of our distributed data processing systems within Google Cloud Platform (GCP), leveraging various NoSQL databases to maintain high performance.

  • Architect the technical translation of high-level business requirements into scalable AI and data solutions, ensuring seamless alignment across cross-functional engineering teams.

  • Partner with business pillars to prioritize product initiatives, resolve technical bottlenecks, and deliver impactful enterprise dashboards via tools like Looker.

Minimum Qualifications:

  • 12+ years of hands-on experience designing, testing, optimizing, and troubleshooting enterprise-grade ETL/ELT solutions.

  • 4+ years of hands on experience with GCP infrastructure, BigQuery and Cloud Dataflow.

  • 3+ years of experience working with OLAP systems, advanced SQL, and data modeling.

  • Proven track record of managing technical teams, driving agile sprints, and managing multiple complex data projects in a fast-paced environment.

  • Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Deep expertise in Google Cloud Platform (GCP) or similar large-scale distributed data infrastructure.

  • Strong understanding of the AI toolkits similar to ADK, Anti Gravity, Vertex AI Agent Engine etc.

  • Strong experience designing data warehouses tailored specifically for business performance management.

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field.

Benefits

  • We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage

  • We support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums

  • Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences

Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy.

Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.

To all recruitment agencies: Google Operations Center (GOC) does not accept agency resumes. Please do not forward resumes to our jobs alias, GOC employees, or any other organization location. GOC  is not responsible for any fees related to unsolicited resumes.

Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at goc-candidate-global@googleoperationscenter.com.

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Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy. Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.

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