Data Engineer Lead - WebOps - Web Analytics
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro hiring increase competition, but senior specialized role limits applicant pool.
Strong GCP/BigQuery/Dataflow and enterprise ETL experience make industry-specific background highly important.
Explicit 12+ years requirement, GCP/BigQuery/Dataflow expertise, and leadership mandate tighten shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and mentor a team of Data Engineers and Web Analytics Engineers focused on website analytics data pipelines into Google Cloud Platform.
Design, develop, and optimize scalable data warehouses and ETL/ELT pipelines using BigQuery, Dataflow, and NoSQL databases on GCP.
Architect solutions that translate high-level business requirements into scalable AI and data solutions, collaborating cross-functionally and delivering impactful dashboards via Looker.
Minimum Requirements
12+ years of hands-on experience with enterprise-grade ETL/ELT design, testing, optimization, and troubleshooting.
4+ years of hands-on experience with Google Cloud Platform infrastructure, including BigQuery and Cloud Dataflow.
3+ years of experience with OLAP systems, advanced SQL, and data modeling.
Proven experience managing technical teams and agile sprints in fast-paced environments.
Ideal Candidate Profile
Experienced leader with a strong background in large-scale distributed data infrastructure on GCP and designing scalable data warehouses tailored for business performance.
Capable of bridging business needs and technical implementation, able to work with stakeholders and translate requirements into technical solutions including AI/ML initiatives.
Demonstrated ability to manage multiple complex data projects and mentor technical teams to achieve operational excellence.