Who are we?Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Job SummaryWe are seeking a Principal – Information Architect & Data Modeling expert to define, design, and govern our enterprise information architecture. The ideal candidate will be a thought leader who sets industry-aligned standards for data modeling and architecture, driving data interoperability, semantic consistency, and enterprise data governance. This role is central to enabling our cloud-native, AI-enabled data platform vision and ensuring trusted, high-quality data is available for business insights and innovation. Responsibilities Information Architecture & Data Modeling Design conceptual, logical, and physical data models for cloud data platforms, ensuring scalability, performance, and flexibilityDevelop and maintain canonical data models (CDM), shared taxonomies, and semantic models for assigned business domainsTranslate business requirements into well-structured data models that support operational, analytical, and AI/ML use casesPartner with engineering teams to design data contracts, APIs, and integration patterns that ensure data consistency across servicesData Architecture Design Contribute to the development of domain-specific data architectures that align with enterprise data strategies and cloud platform standardsDesign and guide implementation of data lake, data warehouse, and lakehouse solutions using platforms such as GCP BigQuery, Dataplex, Dataflow or equivalentsSupport the integration of AI/ML models into data pipelines with a focus on data readiness, lineage, and governanceData Governance & Quality Ensure data models and designs align with governance, security, and compliance requirements (e.g., GDPR, CCPA)Collaborate with data governance teams to implement metadata standards, data quality rules, and lineage trackingSupport stewardship processes to maintain model integrity and alignment with evolving business needsCollaboration & Influence Act as a technical leader and subject matter expert on data modeling and information architecture for engineering, analytics, and business teamsParticipate in architecture reviews, providing guidance on data design decisions and best practices.Contribute to the definition and enforcement of data architecture standards across assigned domainsQualifications Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field10+ years of experience in data modeling, information architecture, or data engineering, including 2+ years in an architecture or principal-level roleStrong proficiency in programming languages such as Python, Java, or Scala, and experience with SQLProven experience in designing and implementing data architectures, ETL processes, and MLOps practicesKnowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in deploying ML models in productionStrong expertise in: Data modeling techniques: relational (3NF), dimensional (Kimball), Data Vault 2.0, hierarchical, NoSQL, graph modelsCloud-native data architecture: GCP (BigQuery, Dataplex, Dataflow), AWS, or Azure equivalentsSemantic modeling for BI / analytics (Looker Modeler / LookML, dbt, Dataform)Data governance, lineage, and metadata management practicesSolid experience with: Defining data contracts and API data schemasSupporting data quality frameworks and data stewardshipDesigning cloud-native data solutions that balance performance, cost, and scalabilityExcellent problem-solving, communication, and stakeholder collaboration skillsPreferred Qualifications Experience implementing data architectures in a data mesh, data fabric, or lakehouse environmentHands-on experience with modern catalog, lineage, and observability toolFamiliarity with MLOps pipelines and AI/ML data requirementsWhat You Bring Passion for designing data solutions that enable trust, reuse, and agilityAbility to translate complex data concepts into actionable solutionsStrong sense of ownership, with a focus on delivering high-quality architectures that stand the test of timeEquinix 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.
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