Job Description

Equinix is the worlds digital infrastructure company , operating over 26 0 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 Summary

We 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

Design conceptual, logical, and physical data models for cloud data platforms, ensuring scalability, performance, and flexibility

Develop and maintain canonical data models (CDM), shared taxonomies, and semantic models for assigned business domains

Translate business requirements into well-structured data models that support operational, analytical, and AI/ML use cases

Partner with engineering teams to design data contracts, APIs, and integration patterns that ensure data consistency across services

Contribute to the development of domain-specific data architectures that align with enterprise data strategies and cloud platform standards

Design and guide implementation of data lake, data warehouse, and lakehouse solutions using platforms such as GCP BigQuery, Dataplex, Dataflow or equivalents

Support the integration of AI/ML models into data pipelines with a focus on data readiness, lineage, and governance

Data 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 tracking

Support stewardship processes to maintain model integrity and alignment with evolving business needs

Act as a technical leader and subject matter expert on data modeling and information architecture for engineering, analytics, and business teams

Participate in architecture reviews , providing guidance on data design decisions and best practices.

Contribute to the definition and enforcement of data architecture standards across assigned domains

Qualifications

Bachelors or masters degree in computer science, Information Systems, Data Science, or related field

10+ years of experience in data modeling, information architecture, or data engineering , including 2+ years in an architecture or principal-level role

Strong proficiency in programming languages such as Python, Java, or Scala, and experience with SQL

Proven experience in designing and implementing data architectures, ETL processes, and MLOps practices

Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in deploying ML models in production

Strong expertise in:

Data modeling techniques : relational (3NF), dimensional (Kimball), Data Vault 2.0, hierarchical, NoSQL, graph models

Cloud-native data architecture : GCP (BigQuery, Dataplex, Dataflow), AWS, or Azure equivalents

Semantic modeling for BI / analytics (Looker Modeler / LookML, dbt, Dataform)

Data governance, lineage, and metadata management practices

Solid experience with:

Defining data contracts and API data schemas

Supporting data quality frameworks and data stewardship

Designing cloud-native data solutions that balance performance, cost, and scalability

Excellent problem-solving, communication, and stakeholder collaboration skills

Preferred Qualifications

Experience implementing data architectures in a data mesh, data fabric, or lakehouse environment

Hands-on experience with modern catalog, lineage, and observability tool

Familiarity with MLOps pipelines and AI/ML data requirements

What You Bring

Passion for designing data solutions that enable trust, reuse, and agility

Ability to translate complex data concepts into actionable solutions

Strong sense of ownership, with a focus on delivering high-quality architectures that stand the test of time

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 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.

About Us

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.

(US Applicants)

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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 this form .

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