This role involves driving end-to-end delivery of enterprise-scale data solutions on Google Cloud Platform while mentoring staff engineers
Job Summary
This role involves driving end-to-end delivery of enterprise-scale data solutions on Google Cloud Platform while mentoring staff engineers.
The ideal candidate will architect complex distributed systems capable of handling petabyte-scale workloads with high availability and fault tolerance.
Equinix values bold ideas and human connection, offering a culture where employees are empowered to shape their future and challenge assumptions.
Matching Summary
This role involves driving end-to-end delivery of enterprise-scale data solutions on Google Cloud Platform while mentoring staff engineers.
Skills & Requirements
Must-have
8+ years hands-on GCP experience
BigQuery advanced SQL and optimization
Cloud Dataflow and Composer expertise
Python/Java programming proficiency
Apache Beam and Kafka streaming
Terraform and CI/CD management
Distributed system architecture design
Nice-to-have
Agentic AI and Model Context Protocol knowledge
MLOps and Vertex AI pipeline experience
Feature stores and model serving infrastructure
Multi-cloud or hybrid cloud architectures
Open-source data engineering contributions
Looker, Tableau, or Power BI visualization
Data mesh and data fabric patterns
Key Requirements
Bachelor's degree in Computer Science or Engineering (Master's preferred)
6+ years specifically on Google Cloud Platform
Proven track record leading enterprise-scale data initiatives
Experience designing data governance and compliance frameworks