Equinix
Who are we?
Equinix is the world's digital infrastructure company, operating over 260 data centersacross 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 hirehardworking people who thrive on solvingchallengingproblems 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 providingan 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.
Key Responsibilities
Enterprise Data Architecture & Strategy
Establish and evolve
enterprise information architecture frameworks
that align with
industry standards .
Define
canonical data models (CDM) ,
shared taxonomies , and
reference architectures
for use across systems, domains, and APIs.
Lead the development of
enterprise data blueprints
for operational, analytical, and AI/ML use cases.
Drive adoption of
data-as-a-product
and
domain-driven design (DDD)
principles to support distributed data ownership.
Data Modeling Excellence
Set and enforce standards for
conceptual, logical, and physical data modeling
following best practices (e.g., 3NF, Dimensional Modeling, Data Vault 2.0).
Lead design reviews to ensure
data normalization, referential integrity, metadata completeness , and
lineage traceability .
Champion
semantic model design
(Looker Modeler / LookML, dbt, Dataform, etc.) for analytics and self-service BI.
Design and evolve
data contracts , ensuring consistency and governance across microservices and data pipelines.
Cloud & Modern Data Platform Enablement
Architect and oversee
cloud-native data solutions
on
GCP
(BigQuery, Dataplex, Dataflow, Pub/Sub, Looker Modeler) or equivalent cloud platforms.
Ensure alignment of data architecture with
MLOps pipelines ,
real-time data streaming , and
AI/ML readiness .
Promote
automation-first approaches
for schema management, model validation, and metadata curation.
Data Governance, Compliance & Quality
Define and implement
enterprise data governance standards
integrating lineage, stewardship, and data quality KPIs.
Ensure compliance with regulatory frameworks (e.g., GDPR, CCPA, HIPAA) through model design and data classification strategies.
Collaborate with Governance and Security teams to embed
privacy-by-design
and
security-by-design
principles in data architecture.
Stakeholder Engagement & Influence
Serve as a key advisor to senior leadership on
data architecture decisions
and data-driven transformation.
Partner with
engineering, analytics, AI/ML, business, and governance teams
to ensure architecture meets evolving needs.
Translate complex architecture concepts into actionable roadmaps and communicate effectively at all levels of the organization.
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.
What Sets You Apart
You think strategically while remaining hands-on where needed.
You balance rigor in data design with pragmatism for fast-changing business needs.
You bring thought leadership in emerging data architecture trends and future-ready solutions.
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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Our culture is based on collaboration and the growth and development of our teams. We hirehardworking people who thrive on solvingchallengingproblems 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 providingan 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.
Key Responsibilities
Enterprise Data Architecture & Strategy
Establish and evolve
enterprise information architecture frameworks
that align with
industry standards .
Define
canonical data models (CDM) ,
shared taxonomies , and
reference architectures
for use across systems, domains, and APIs.
Lead the development of
enterprise data blueprints
for operational, analytical, and AI/ML use cases.
Drive adoption of
data-as-a-product
and
domain-driven design (DDD)
principles to support distributed data ownership.
Data Modeling Excellence
Set and enforce standards for
conceptual, logical, and physical data modeling
following best practices (e.g., 3NF, Dimensional Modeling, Data Vault 2.0).
Lead design reviews to ensure
data normalization, referential integrity, metadata completeness , and
lineage traceability .
Champion
semantic model design
(Looker Modeler / LookML, dbt, Dataform, etc.) for analytics and self-service BI.
Design and evolve
data contracts , ensuring consistency and governance across microservices and data pipelines.
Cloud & Modern Data Platform Enablement
Architect and oversee
cloud-native data solutions
on
GCP
(BigQuery, Dataplex, Dataflow, Pub/Sub, Looker Modeler) or equivalent cloud platforms.
Ensure alignment of data architecture with
MLOps pipelines ,
real-time data streaming , and
AI/ML readiness .
Promote
automation-first approaches
for schema management, model validation, and metadata curation.
Data Governance, Compliance & Quality
Define and implement
enterprise data governance standards
integrating lineage, stewardship, and data quality KPIs.
Ensure compliance with regulatory frameworks (e.g., GDPR, CCPA, HIPAA) through model design and data classification strategies.
Collaborate with Governance and Security teams to embed
privacy-by-design
and
security-by-design
principles in data architecture.
Stakeholder Engagement & Influence
Serve as a key advisor to senior leadership on
data architecture decisions
and data-driven transformation.
Partner with
engineering, analytics, AI/ML, business, and governance teams
to ensure architecture meets evolving needs.
Translate complex architecture concepts into actionable roadmaps and communicate effectively at all levels of the organization.
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.
What Sets You Apart
You think strategically while remaining hands-on where needed.
You balance rigor in data design with pragmatism for fast-changing business needs.
You bring thought leadership in emerging data architecture trends and future-ready solutions.
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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