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Principal Data Modeler
Equinix
Design and govern enterprise data models and architecture for cloud AI platforms.
7d ago
$155,000 - $233,000
Expert & Leadership (13+ years)
Full Time
Dallas, TX
Office Full-Time
Company Size
10,000 Employees
Service Specialisms
Data center colocation
Interconnection services
Smart Hands / remote support
Software-defined interconnection
Network Edge services
Equinix Metal (bare metal)
Equinix Fabric (cloud routing)
Managed services (integration & advisory)
Sector Specialisms
No specialisms available
Role
What you would be doing
data modeling
data architecture
data lake
data warehouse
api design
data governance
- Designing cloud-native data solutions that balance performance, cost, and scalability
- Support the integration of AI/ML models into data pipelines with a focus on data readiness, lineage, and governance
- Develop and maintain canonical data models (CDM), shared taxonomies, and semantic models for assigned business domains
- Support stewardship processes to maintain model integrity and alignment with evolving business needs
- Collaborate with data governance teams to implement metadata standards, data quality rules, and lineage tracking
- Contribute to the development of domain-specific data architectures that align with enterprise data strategies and cloud platform standards
- Partner with engineering teams to design data contracts, APIs, and integration patterns that ensure data consistency across services
- Supporting data quality frameworks and data stewardship
- Contribute to the definition and enforcement of data architecture standards across assigned domains
- Translate business requirements into well-structured data models that support operational, analytical, and AI/ML use cases
- Design and guide implementation of data lake, data warehouse, and lakehouse solutions using platforms such as GCP BigQuery, Dataplex, Dataflow or equivalents
- Act as a technical leader and subject matter expert on data modeling and information architecture for engineering, analytics, and business teams
- Design conceptual, logical, and physical data models for cloud data platforms, ensuring scalability, performance, and flexibility
- Defining data contracts and API data schemas
- Participate in architecture reviews, providing guidance on data design decisions and best practices.
- Ensure data models and designs align with governance, security, and compliance requirements (e.g., GDPR, CCPA)
What you bring
python
gcp
mlops
data modeling
10+ years
cs degree
- Passion for designing data solutions that enable trust, reuse, and agility
- Experience implementing data architectures in a data mesh, data fabric, or lakehouse environment
- Ability to translate complex data concepts into actionable solutions
- Familiarity with MLOps pipelines and AI/ML data requirements
- Excellent problem-solving, communication, and stakeholder collaboration skills
- Data governance, lineage, and metadata management practices
- 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
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in deploying ML models in production
- Cloud-native data architecture: GCP (BigQuery, Dataplex, Dataflow), AWS, or Azure equivalents
- Proven experience in designing and implementing data architectures, ETL processes, and MLOps practices
- Hands-on experience with modern catalog, lineage, and observability tool
- Strong proficiency in programming languages such as Python, Java, or Scala, and experience with SQL
- Strong sense of ownership, with a focus on delivering high-quality architectures that stand the test of time
- Data modeling techniques: relational (3NF), dimensional (Kimball), Data Vault 2.0, hierarchical, NoSQL, graph models
- Semantic modeling for BI / analytics (Looker Modeler / LookML, dbt, Dataform)
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
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Company
Overview
1998
Year Established
The company was established in 1998, marking the beginning of its journey in providing data center and interconnection services.
25+ Countries
Global Presence
Operates in over 25 countries, showcasing its extensive international reach and capability to serve a global clientele.
200+ Data Centers
Global Infrastructure
Provides essential services through over 200 data centers worldwide, supporting digital ecosystems and business growth.
- World’s largest provider of data center and interconnection services.
- Offers cutting-edge solutions that enable businesses to scale and adapt to the digital age.
- Facilitates high-performance connections for industries like cloud computing, telecommunications, and finance.
- Provides services including hybrid cloud solutions, network and application performance optimization, and interconnection for business ecosystems.
- At the forefront of advancing global digital transformation through strategic partnerships with leading companies.
- Innovative business models drive enterprise infrastructure modernization, ensuring security and compliance.
- Thriving workplace where every colleague is valued and respected for who they are and what they contribute
- Foster belonging—cultivating an environment where every employee feels empowered to bring their authentic selves to work
- Deliberate inclusion of all perspectives to strengthen decision‑making and business outcomes
- Programs to enhance workplace experience and attract high‑performing talent
Net-zero by 2040
Greenhouse Gas Emissions Target
Committed to achieving net-zero greenhouse gas emissions across all scopes by 2040, verified by Science Based Targets.
50% reduction by 2030
Emission Reduction Target
Reducing Scope 1/2 emissions and fuel/energy-related Scope 3 emissions by half from 2019 levels by 2030.
100% Renewable Energy
Global Portfolio Goal
Aiming to source 100% of energy from renewable sources across all operations by 2030, having reached 96% in 2024.
A-List Recognition
CDP Climate Change
Achieved consecutive years of 'A-List' recognition from CDP for climate change management and transparency.
- Target global average PUE of 1.33 by 2030; achieved 1.39 in latest reporting (6% improvement YoY)
- Installed 72 MW fuel cells (capable of Hâ‚‚ blends), avoiding 285,000 MTCOâ‚‚e and 382 billion gallons of embedded water use
- Consumed 8,560 GWh electricity across 268 data centers in 35 countries, with 1,285 MW of long-term PPAs
- Reduced operational Scope 1/2 emissions 24% from 2019 baseline; total 2024 footprint 1,747,700 MTCOâ‚‚e
- Issued ~$6.9 billion in green bonds to finance green buildings, energy efficiency, renewable energy, and decarbonization projects
17% increase
Women Employees Increase
Represents a significant global growth in the number of women employees over the past year.
14% increase
Black/African-American Employees
Signifies a notable rise in the number of U.S.-based Black/African-American employees.
47 organizations
Digital Inclusion Funding
Reflects the number of organizations supported by the foundation to enhance digital access and skills development.
11–37% increase
Employee Volunteer Hours
Highlights the growth in global volunteer hours, with a notable example of 25,300 hours in the latest reporting period.
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