Equinix · 16 hours ago
Senior Data Engineer
Equinix is the world’s digital infrastructure company, and they are seeking a Senior Data Engineer to drive end-to-end delivery of enterprise-scale data solutions on Google Cloud Platform. This role involves designing sophisticated system architectures, leading cross-functional teams, and mentoring other data engineers to ensure successful delivery of mission-critical data products.
Cloud Data ServicesData CenterInformation TechnologyInfrastructureInternetSoftware
Responsibilities
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
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
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
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
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
Qualification
Required
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
Programming Excellence: Expert-level Python/Java programming, proficiency in Python/Scala for Spark development
Advanced Data Technologies: Deep expertise in Apache Beam, Apache Spark, Airflow, Kafka, and distributed computing architectures
Infrastructure: Extensive experience with Terraform, CI/CD pipelines, and cloud infrastructure management
Database & Data Modeling: Advanced knowledge of relational databases (PostgreSQL, MySQL) and NoSQL systems (BigTable, Firestore, MongoDB); expertise in data modeling, normalization, and performance optimization
System Design: Proven ability to architect complex, distributed systems with considerations for scalability, reliability, security, and cost-effectiveness
Bachelor's degree in Computer Science, Engineering, or related technical field (Master's degree preferred)
8+ years of data engineering experience with 6+ years specifically on Google Cloud Platform
Proven track record of leading end-to-end delivery of complex, enterprise-scale data platform initiatives
Experience designing and implementing data governance, compliance, and security frameworks
Strong architectural thinking with ability to make sound technical decisions and trade-offs
Excellent communication skills with ability to present technical concepts to both technical and non-technical audiences, including executive leadership
Proven ability to translate business requirements into scalable technical architectures and solutions
Experience managing cross-functional projects and building strong stakeholder relationships
Preferred
Google Cloud Professional Data Engineer and/or Cloud Architect certifications
Experience with AI/ML technologies, MLOps practices, and machine learning pipeline development on GCP
Knowledge of emerging AI technologies including Agentic AI frameworks, LLM integration, and Model Context Protocol (MCP)
Experience with feature stores, model serving infrastructure, and AI/ML observability
Understanding of data science workflows, statistical analysis, and advanced analytics
Experience with BI and visualization tools (Looker, Tableau, Power BI)
Contributions to open-source data engineering projects or technical publications
Experience with multi-cloud or hybrid cloud architectures
Knowledge of data mesh, data fabric, or other modern data architecture patterns
Benefits
Employee Assistance Program
Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.
Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.
Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge.
Company
Equinix
Equinix is an internet company that provides data center services for companies, businesses, and organizations.
H1B Sponsorship
Equinix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (113)
2024 (157)
2023 (117)
2022 (121)
2021 (179)
2020 (122)
Funding
Current Stage
Public CompanyTotal Funding
$4.27BKey Investors
Elliott Management Corp.Crosslink Capital
2025-11-19Post Ipo Debt· $499.92M
2025-07-22Post Ipo Equity
2025-03-17Post Ipo Debt· $374.96M
Leadership Team
Recent News
2026-01-25
Company data provided by crunchbase