Principal Data Modeler

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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 tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

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.

Job Summary

We are seeking a Principal Information Data Modeler to define, design, and govern our enterprise‑wide information architecture. This role is a strategic technical leadership position responsible for establishing standards, driving semantic and structural consistency, and enabling data interoperability across the organization.

The ideal candidate is a recognized expert in data modeling and information architecture with deep experience in cloud‑native data platforms, modern data practices, and AI‑enabled ecosystems. This role directly advances our vision for a trusted, scalable, and intelligent data platform that powers analytics, operational insights, and innovation.

Responsibilities

Information Architecture & Data Modeling

• Design conceptual, logical, and physical data models optimized for cloud platforms with an emphasis on scalability, performance, and adaptability

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

• Translate complex business needs into high‑quality data models supporting transactional, analytical, and AI/ML use cases

• Partner with engineering teams to define data contracts, schema standards, API data patterns, and integration approaches ensuring consistency across distributed systems

Data Architecture Design

• Contribute to domain‑specific data architecture blueprints aligned to enterprise data strategy and platform standards

• Design and guide implementation of data lake, data warehouse, and lakehouse solutions using technologies such as GCP BigQuery, Dataplex, Dataflow, or equivalent cloud services

• Support AI/ML data readiness including feature representation, lineage, quality, and model‑to‑data integration patterns

Data Governance & Quality

• Ensure data designs align with enterprise governance, security, privacy, and regulatory requirements (e.g., GDPR, CCPA)

• Implement and enforce metadata standards, data quality rules, naming conventions, and lineage tracking in collaboration with data governance teams

• Support data stewardship practices to maintain model integrity and ensure alignment with evolving business and regulatory needs

Collaboration, Influence & Leadership

• Serve as a technical leader and SME for data modeling and information architecture across engineering, analytics, and business communities

• Participate in architectural reviews, providing thought leadership and guidance on data design, integration patterns, and modeling best practices

• Champion the adoption of enterprise data standards, tooling, and best practices within assigned domains

• Mentor data engineers, modelers, and architects to elevate modeling and information architecture competencies across the organization

Qualifications

Required

• 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, with 2+ years at a principal or architecture‑level role

• Strong proficiency in Python, Java, or Scala, and deep experience with SQL

• Proven ability to design, implement, and optimize cloud‑native data architectures and ETL/ELT processes

• Working knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and experience supporting ML model deployment or MLOps workflows

Strong Expertise In

• Data modeling methodologies: Relational (3NF), Dimensional (Kimball), Data Vault 2.0, hierarchical, NoSQL, and graph models

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

• Semantic modeling and analytics frameworks: LookML (Looker Modeler), dbt, Dataform, or equivalent tools

• Data governance, metadata management, data lineage, and quality frameworks

Solid Experience With

• Designing and governing data contracts and API‑based schema definitions

• Data quality frameworks, data stewardship, and metadata-driven design

• Designing cloud‑native architectures balancing performance, cost-efficiency, and scalability

• Collaborating across cross‑functional engineering and business teams

Preferred Qualifications

• Experience implementing data mesh, data fabric, or modern lakehouse architectures

• Hands‑on experience with modern data catalog, lineage, and observability tools

• Familiarity with MLOps practices and AI/ML data lifecycle management

What You Bring

• Passion for designing data solutions that promote trust, reuse, and agility

• Ability to convey complex data concepts in clear, actionable ways

• A strong sense of ownership and craftsmanship in developing scalable, durable architectures

• A forward‑thinking, enterprise‑wide perspective with the ability to anticipate future data needs

The targeted pay range for this position in the following location is / locations are:

United States - Dallas Infomart Office DAI : 155,000 - 233,000 USD / Annual

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: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. 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.

We use artificial intelligence in our hiring process. Learn more here .