Head - Data Engineering

Overview

Equinix is the world’s digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

We are seeking a visionary and accomplished engineering leader to serve as the Director of Data Engineering and Analytics. This role will oversee multiple Data Engineering and Analytics teams organized along product lines, that design, build and deploy data products. Central to this body of work is the Platform Engineering team responsible for a cloud-based Data Platform, that serves as the foundation for developing and deploying all data products. The Data Platform also serves as the foundation for developing and deploying all AI products.

You will collaborate closely with Platform Engineering, Data Product Management, AI / ML, and Operations to deliver scalable, reliable, and high-quality data solutions that power our business decisions and AI products.

Responsibilities

• Provide strategic and operational leadership for Data Engineering and Analytics teams to build data products, pipelines, and solutions that enable business intelligence, analytics, and AI / ML use cases
• Oversee the development and deployment of scalable ETL / ELT pipelines, data marts, and analytics models that meet enterprise data needs
• Ensure effective use of the generic frameworks, tools, and platforms to build, test, and deploy data solutions efficiently
• Partner closely with peers to align on capabilities, enhancements, and optimizations needed for ingestion, transformation, orchestration, and deployment frameworks
• Drive a data product mindset, ensuring that data assets are well-architected, high quality, governed, and reusable across the organization
• Foster collaboration with Data Product Management, AI / ML teams, and business stakeholders to prioritize and deliver high-impact data solutions
• Build and scale a high-performing team through recruitment, coaching, and mentoring, promoting a culture of innovation, inclusion, and continuous learning
• Proven experience in leading large, distributed teams, managing organizational change, and scaling engineering functions
• Lead transformational initiatives to modernize data architecture, adopt emerging technologies, and evolve engineering practices
• Cultivate a collaborative and transparent culture, breaking down silos and aligning cross-functional teams around shared goals
• Define clear objectives, KPIs, and performance metrics for teams, and provide feedback to ensure accountability and growth
• Focus on automation, efficiency, and quality, while meeting or exceeding delivery timelines
• Ensure adherence to data governance, privacy, and security policies in all data engineering and analytics work
• Represent Data Engineering and Analytics in cross-functional forums, advocating for best practices, innovation, and alignment with enterprise architecture

Qualifications

Preferred Qualifications

What You Bring

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 the 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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