Principal Data Engineer
Core
Design and lead enterprise-scale, cloud-native data platforms on Google Cloud Platform, balancing scalability, performance, and cost while integrating AI/ML capabilities.
Role type
Principal Data Engineer (Strategy & Hands-on IC)
Builds
Petabyte-scale data platforms, real-time streaming pipelines, and AI-integrated data solutions for Equinix's global digital infrastructure.
Domain
Cloud Data Engineering, AI/ML Integration, Enterprise Data Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Google Cloud Platform (GCP) architecture, Python/Java programming, distributed computing (Spark/Beam), data governance, system design, AI/LLM integration
Preferred skills
Agentic AI frameworks, Model Context Protocol (MCP), feature stores, data mesh patterns, open-source thought leadership
Technologies
BigQuery, Dataflow, Cloud Composer, Pub/Sub, Terraform, Apache Spark, Apache Kafka, Vertex AI, PostgreSQL, MongoDB
Responsibilities
Architect petabyte-scale data platforms with defined SLOs; establish organization-wide engineering standards and reference architectures; lead cross-functional initiatives and mentor senior engineers; design automated data quality and lineage tracking systems; present technical strategies to executive leadership.
Seniority
Principal, strategy & mentorship
