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Tier-1 brand, mid-level generalist title, metro location and 5+ years requirement increase candidate competition.
Strong GCP BigQuery/Dataflow/Beam requirements create high domain specificity and reduce cross-industry transferability.
Explicit 5+ years, 4+ years GCP, and many mandatory GCP data platform tools make shortlisting highly strict.
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Lead design and development of enterprise-scale data pipelines and analytics solutions on Google Cloud Platform.
Drive evolution and operational excellence of Equinix's Data Lake platform including fault-tolerant, petabyte-scale data processing systems.
Provide technical mentorship, lead code reviews, enforce quality processes, and collaborate on cross-functional initiatives and compliance frameworks.
5+ years data engineering experience with at least 4 years on Google Cloud Platform.
Expert-level skills with GCP services: BigQuery, Cloud Dataflow, Cloud Composer, Cloud Storage, Pub/Sub.
Proficiency in Python/Java programming and strong knowledge of distributed computing technologies like Apache Beam and Kubernetes.
Bachelor’s or master’s degree in computer science, engineering, or related field.
Experienced in designing scalable multi-environment data architectures with automated scaling and compliance controls.
Proven ability to translate complex business requirements into scalable technical solutions and implement data governance for GDPR, SOX, and related standards.
Skilled in leading technical teams, conducting interviews, and driving knowledge-sharing in cloud-native, enterprise-scale data environments.