GCP Data Engineer

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 pro