Director, Data Engineering for Data Center Assets

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.

Key Responsibilities:

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 mainly around Asset 260 and it’s linkage between Customer 360 and Product 360 by 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

• 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 Bri