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.
As Director of Data Engineering – Data Center Assets, you will drive the strategy, design, and delivery of domain-oriented and cross-domain data products, focused around Data Center Assets and Operations. 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.