Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

As a key member of the Data Team at Equinix, we are seeking an experienced GCP Data Engineer who will lead end-to-end development of complex Data Engineering use cases and drive the evolution of Equinix's Data Lake platform. You will design and build enterprise-scale data infrastructure and analytics solutions on Google Cloud Platform while providing technical mentorship to the data engineering team. The ideal candidate combines deep technical expertise in cloud-native data technologies with proven leadership skills and a passion for building robust, scalable data platforms that drive strategic business insights.

Responsibilities

Participate in design and implementation of enterprise-scale data pipelines and platform architecture for End-to-End data products

Develop fault-tolerant, petabyte-scale data processing systems using advanced GCP services

Evaluate and recommend new technologies, tools, and architectural approaches

Build complex ETL/ELT workflows using Cloud Dataflow, Composer, Dataform/dbt, BigQuery and custom solutions

Implement sophisticated real-time streaming architectures with Cloud Pub/Sub, Kafka and Apache Beam

Design and optimize data processing workflows for performance, cost, and reliability

Develop advanced data transformation logic and custom processing functions

Implement data architectures and microservices-based data platforms

Design multi-environment deployment strategies and automated scaling solutions





Establish monitoring, alerting, and observability frameworks across the data platform

Lead code reviews and establish quality assurance processes

Provide technical guidance on complex problem-solving and optimization techniques

Facilitate knowledge sharing sessions and technical training programs

Collaborate with hiring managers on technical interviews and team expansion

Implement comprehensive data governance frameworks and compliance controls

Design fine-grained access controls and data classification systems

Establish automated data quality monitoring and lineage tracking

Ensure GDPR, SOX, and other regulatory compliance across data workflows

Implement privacy-preserving techniques and data anonymization strategies

Translate complex business requirements into scalable technical solutions

Coordinate cross-functional initiatives involving multiple engineering teams Qualifications

Required

Technical Expertise

GCP Services: 5+ years hands-on experience with BigQuery (advanced SQL, scripting, ML integration), Cloud Dataflow, Cloud Composer, Cloud Storage, Pub/Sub, and Vertex AI

Programming: Expert-level Python/Java programming, proficiency in Python/Scala for Spark development

Advanced Technologies: Deep experience with Apache Beam, Airflow, Kubernetes, Docker, and distributed computing

Infrastructure: Extensive experience with Terraform, CI/CD pipelines, and cloud infrastructure management

Database Systems: Advanced knowledge of both relational and NoSQL databases, data modeling, and performance optimization Professional Experience





Bachelor’s or master’s degree in computer science, Engineering, or related field

5+ years of data engineering experience with 4+ years specifically on Google Cloud Platform

Proven track record of delivering complex, enterprise-scale data solutions

Experience with data governance, compliance, and security frameworks

Excellent written and verbal communication skills with ability to present to executives

Experience working with cross-functional projects and managing stakeholder relationships

Proven ability to translate business requirements into technical solutions Preferred Qualifications

Google Cloud Skilled Data Engineer certification

Experience with MLOps, feature stores, and machine learning pipeline development

Knowledge of data science workflows and statistical analysis

Experience with BI tools (Looker, Tableau) and advanced analytics platforms

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process. Learn more here.

This posting is a new position within our organization.

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