Senior 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 tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

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 Senior Data Engineer at Equinix, you will be responsible for driving end-to-end delivery of enterprise-scale data solutions on Google Cloud Platform. This role combines hands-on technical expertise, requiring you to design sophisticated system architectures, lead cross-functional teams, and mentor Staff and other data engineers. You will be responsible for solution design and ensuring the successful delivery of mission-critical data products. The ideal candidate demonstrates exceptional technical depth in GCP data technologies, proven leadership in guiding engineering teams through complex challenges, and the ability to translate strategic business objectives into scalable, innovative technical solutions. Knowledge of AI, Machine Learning Operations, and emerging technologies like Agentic AI and Model Context Protocol (MCP) is highly valued.

Responsibilities

System Design & Architecture Leadership

• Architect complex, distributed data systems capable of handling petabyte-scale workloads with fault tolerance and high availability

• Design data platform architectures considering scalability, performance, cost optimization, and operational excellence

• Evaluate and recommend emerging technologies, tools, and architectural patterns to drive innovation

• Create comprehensive architectural documentation, design patterns, and best practices guidelines

Technical Solutioning & Delivery

• Own end-to-end delivery of complex data engineering initiatives from conception to production

• Design and implement sophisticated solutions leveraging BigQuery, Cloud Dataflow, Composer, Dataform/dbt, Pub/Sub, and Vertex AI

• Architect and build real-time streaming data pipelines using Cloud Pub/Sub, Kafka, and Apache Beam

• Develop advanced data transformation frameworks and custom processing engines

• Design microservices-based data platforms with containerization (Docker/Kubernetes)

• Establish comprehensive observability, monitoring, and alerting frameworks

• Drive performance optimization, cost management, and operational efficiency initiatives

Team Leadership & Mentorship

• Lead and mentor Data Engineers and other team members, fostering technical excellence and professional growth

• Guide teams through complex technical challenges and architectural decision-making

• Conduct technical design reviews and ensure adherence to architectural standards

• Establish coding standards, quality assurance processes, and engineering best practices

• Lead technical training programs and knowledge-sharing initiatives

• Drive continuous improvement in team processes, tools, and methodologies

• Participate in technical hiring processes and team capability building

Data Governance & Compliance

• Establish data classification systems, access control policies, and encryption strategies

• Implement automated data quality frameworks, lineage tracking, and metadata management

• Ensure regulatory compliance across data workflows (GDPR, SOX, industry-specific regulations)

• Design privacy-preserving techniques, data anonymization, and secure data sharing mechanisms

Strategic Collaboration & Stakeholder Management

• Partner with business stakeholders to translate strategic objectives into technical solutions

• Lead cross-functional initiatives spanning multiple engineering teams and business units

• Present technical concepts and architectural decisions to executive leadership

• Drive alignment between technical implementations and business outcomes

Qualifications

• Technical Expertise

• GCP Platform Mastery: 6+ years of hands-on experience with Google Cloud Platform, including deep expertise in BigQuery (advanced SQL, scripting, optimization, ML integration), Cloud Dataflow, Cloud Composer, Cloud Storage, Pub/Sub, Dataproc, and Vertex AI