Scan your resume against ATS criteria for this Principal Data Engineer role at Equinix.
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.
As a Principal 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 initiatives, and mentor data engineers. You will act as a trusted technical advisor for the team championing innovation across GCP, Data Engineering, AI, Agentic AI, and Model Context Protocol (MCP). The ideal candidate possesses unparalleled technical depth, exceptional strategic thinking, and a demonstrated history of delivering transformational data platform capabilities at a global scale.
System Design & Architecture Leadership
Architect and evolve cloud-native, petabyte-scale data platforms and data products, with clearly defined and measurable SLOs for data freshness, availability, and reliability
Design data solutions balancing scalability, performance, cost, and operational excellence through clear architectural trade-offs
Establish reference architectures, architectural guardrails, and engineering standards adopted organization-wide
Lead architectural governance across all data engineering squads, ensuring consistency, scalability, and security
Evaluate and adopt emerging technologies (including Agentic AI/LLM and real-time systems) to improve engineering productivity and business outcomes
Drive adoption of domain-oriented data architecture (e.g., data mesh principles) across business domains to enable ownership, consistency, and reuse
Technical Solutioning & Innovation
Design scalable data solutions using modern cloud-native technologies (e.g., BigQuery, Dataflow, dbt/Dataform, Pub/Sub), selecting the right tools based on problem context
Own end-to-end delivery of complex data engineering initiatives from design through production, and continuous evolution.
for real-time streaming, event-driven architectures, and unified batch-streaming pipelines at petabyte scale
Evaluate and adopt AI/LLM capabilities to improve engineering productivity and enable intelligent data consumption, using standard interfaces (e.g., Model Context Protocol) to integrate AI with data systems
Establish engineering excellence frameworks covering performance engineering, cost governance, reliability, and observability
Lead proof-of-concept and rapid prototyping of breakthrough technologies before scaling org-wide
Team Leadership & Mentorship
Serve as a technical role model and multiplier — elevating the capabilities of Senior Staff, Staff, and Data Engineers across the organization
Lead org-wide engineering communities of practice and knowledge-sharing initiatives
Partner with engineering managers and HR to drive technical hiring strategy and raise the engineering talent bar
Drive culture of engineering excellence, innovation, and continuous learning
Establish mentorship programs that systematically grow the next generation of technical leaders
Data Governance & Compliance
Architect automated data quality platforms, end-to-end lineage tracking, and enterprise metadata management systems
Ensure compliance with GDPR, SOX, and emerging global data regulations through proactive architecture and policy design
Lead privacy-by-design initiatives, zero-trust data access models, and data anonymization at scale
Establish cross-cloud security standards and enforce them through automated policy guardrails
Design privacy-preserving techniques, data anonymization, and secure data sharing mechanisms
Strategic Influence & Stakeholder Management
Partner with business stakeholders to translate strategic objectives into scalable technical solutions
Lead cross-functional initiatives spanning multiple engineering teams and business units
Present technical concepts and architectural decisions to executive leadership
Represent Equinix externally — at industry conferences, in open-source communities, and in strategic vendor partnerships
Drive build-vs-buy decisions, vendor evaluation, and strategic technology partnerships at the enterprise level
Technical Expertise
GCP Platform Mastery: 8+ 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 and deliver distributed, fault-tolerant, globally distributed data systems with rigorous security and cost governance
AI/ML Integration: Deep experience with MLOps, feature engineering platforms, model serving infrastructure, and integrating LLM-powered capabilities into production data pipelines
Professional Experience & Leadership
Master's or bachelor's degree in computer science, Engineering, or related field; Master's degree strongly preferred
15+ years of Data engineering experience with 8+ 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
Proven ability to translate business requirements into scalable technical architectures and solutions
Strong business acumen — ability to connect technical architecture decisions to measurable business outcomes
Solve complex, ambiguous data platform challenges and drive decisions that improve system reliability, performance, and cost at scale
Preferred Qualifications
Google Cloud Professional Data Engineer and Cloud Architect certifications
Hands-on experience with Agentic AI frameworks, LLM orchestration, and Model Context Protocol (MCP) in production environments
Published thought leadership — technical blog posts, conference talks, or open-source contributions in data engineering
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 industry standards bodies, open-source foundations, or emerging technology working groups
Experience with multi-cloud or hybrid cloud architectures and data portability strategies
Knowledge of data mesh, data fabric, or other modern data architecture patterns
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 https://forms.office.com/pages/responsepage.aspx?id=cbKtcscv_kql7p3mpZ9r-50RYwLmhPpKtmEYPKOcl8hURTBBN0xMTllDRVc0VkJUSEYxMEk1V0NJQS4u&origin=lprLink 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.
https://careers.equinix.com/equinix-ai-guidance-for-candidates
This posting is for a backfill position, meaning it is to fill an existing vacancy within our organization.
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.
How to apply for Principal Data Engineer at Equinix?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
8+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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