Equinix
Who are we?
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. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.
Job Summary
We are seeking a Principal Data Modeler 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
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
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
The pay range in the United States (Dallas Infomart Office) is 155,000 - 233,000 USD annually. Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.
US Benefits: Insurance (health, life, disability and voluntary plans), Retirement, PTO and paid holidays. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
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.
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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. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.
Job Summary
We are seeking a Principal Data Modeler 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
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
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
The pay range in the United States (Dallas Infomart Office) is 155,000 - 233,000 USD annually. Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.
US Benefits: Insurance (health, life, disability and voluntary plans), Retirement, PTO and paid holidays. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
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.
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