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.
Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. 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.
We are seeking a Sr. 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.

QUALIFICATIONS

• Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field.
• 12+ years of experience in enterprise data architecture, data modeling, or information architecture, including 3-5 years at a senior principal, chief architect, or equivalent level.
• 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.
• Demonstrated expertise in:
• Data modeling techniques: relational (3NF), dimensional (Kimball), Data Vault 2.0, hierarchical, NoSQL, graph models.
• Information architecture frameworks: TOGAF, DAMA-DMBOK, DCAM, CDMC.
• Cloud-native data architecture: GCP (BigQuery, Dataplex, Dataflow), AWS, or Azure equivalents.
• Semantic modeling for BI / analytics (Looker Modeler / LookML, dbt, Dataform).
• Metadata management, data lineage, and master/reference data management (MDM/RDM).
• Strong knowledge of:
• Data governance tools (Collibra, Informatica, Dataplex, Alation, etc.).
• Regulatory compliance (GDPR, CCPA, HIPAA) and data privacy principles.
• Data contracts, API data modeling, and domain-driven design (DDD).
• Experience leading data architecture for:
• Data lakehouses, data mesh/data fabric architectures, and multi-cloud strategies.
• Integration of AI/ML solutions into data architectures.
• Exceptional communication, leadership, and stakeholder management skills.

PREFERRED QUALIFICATIONS

• Experience implementing data products in a data mesh or federated architecture.
• Hands-on experience with modern catalog, lineage, and observability tools.
• Experience with event-driven architectures and real-time data streaming patterns.