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.

JOB SUMMARY

As Sr. Principal - Data Product & Solution, you will drive the strategy, design, and delivery of domain-oriented and cross-domain data products, including Customer360, Product360, Asset360, AssetBrain, CustomerBrain, and Lead-to-Cash analytics solutions. You will act as a technical and strategic leader, defining best-in-class data product architecture, ensuring scalability, reusability, and governance, and fostering a data product mindset across the enterprise.
Your mission is to build a unified, trusted, and holistic data ecosystem. You will design the blueprints that break down data silos, creating canonical data models and scalable integration patterns. By providing expert technical leadership, you will guide the development of platforms that unlock unprecedented insights, drive superior customer experiences, and foster operational excellence. You are the single point of technical ownership for the architecture and viability of these integrated data platforms.

QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
• 15+ years of experience in Data Engineering / Solution Architecture roles, with at least 5 years in senior/principal level engineering or architecture
• Experience in leading cross-domain data products (Customer360, Product360, Asset360, etc.)
• Experience with data governance frameworks, metadata management, and enterprise data platforms
• Knowledge of data privacy and security frameworks

Preferred Qualifications

• Experience delivering analytics self-service capabilities, conversational analytics and enterprise dashboards using BI tools (e.g., Looker, Power BI, Tableau)
• Familiarity with AI/ML operationalization, including enabling data pipelines for AI/ML model development and deployment
• Knowledge of data mesh principles or federated data architectures
• Experience with cost optimization and cloud resource management for data workloads

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.

Data Product Ownership & Strategy

• Lead the end-to-end lifecycle of data products: from vision, design, and development to deployment, monitoring, and continuous improvement
• Define and maintain enterprise-level cross-domain data products (e.g., Customer360, Asset360) integrating data from multiple domains and systems (CRM, ERP, IoT, operational systems)
• Drive alignment between business priorities and data product design to enable self-service analytics and AI/ML initiatives (e.g., AssetBrain, CustomerBrain)
• Establish and evangelize data product standards (semantic models, metrics, API contracts) and ensure adoption across domains

Solution Engineering

• Design modern, scalable, and secure data solutions leveraging cloud-native technologies (e.g., GCP, AWS or Azure)
• Ensure alignment with target enterprise architecture, platform capabilities (e.g., ingestion, transformation frameworks, orchestration, CI/CD, DataOps), and data governance
• Collaborate with data scientists, data engineers, and business SMEs to design products that support AI/ML use cases, predictive models, and operational analytics

Leadership & Collaboration

• Mentor and guide engineering teams in building reusable components, data models, and API
• Act as a key interface between platform engineering, domain engineering teams, product owners, and business stakeholders
• Champion a data-as-a-product culture across the enterprise and promote platform enablement through data democratization

Governance, Quality & Compliance

• Embed data quality, security, privacy, and compliance requirements (e.g., SOC2, GDPR) into data product design
• Ensure traceability, lineage, and auditability of data assets and metrics from raw source to consumption

Business & Stakeholder Alignment

• Translate complex business requirements from sales, marketing, supply chain, and service into robust, scalable, and secure technical solutions
• Collaborate closely with data governance councils and business data stewards to embed data quality and governance policies directly into the architectural design
• Clearly articulate the technical vision, architectural decisions, and trade-offs to diverse audiences, from C-level executives to developers

What You Bring

• Passion for designing and delivering data solutions that enable trust, reuse, scalability, and agility across the enterprise
• Ability to translate complex business and data concepts into actionable, high-quality solutions that drive business value
• Proven track record of delivering enterprise-grade data products in large-scale environments (preferably in data center, cloud infrastructure, or similar domains)
• Strong sense of ownership, with a focus on building architectures and solutions that stand the test of time