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 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
Information Architecture & Data Modeling
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
Data Architecture Design
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
Collaboration & Influence
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
Bachelor’s or master’s 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.
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
