Principal - Data Products & Solutions

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 Principal - Data Product & Solution Engineer, you will play a pivotal role in architecting, designing, and delivering domain-level and cross-domain data products such as Customer360, Product360, Asset360, AssetBrain, CustomerBrain, and Lead-to-Cash analytics solutions. You will partner closely with engineering teams, product owners, and business stakeholders to build scalable, trusted, and reusable data products that power analytics, AI/ML, and operational use cases 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. 

Responsibilities

Data Product Design & Delivery 

• Drive the technical design, development, and delivery of cross-domain data products integrating data from multiple domains (e.g., CRM, ERP, IoT, operational systems)

• Ensure data product architectures align with enterprise data strategy and promote reuse, scalability, and standardization

• Work with business and analytics teams to understand requirements and translate them into actionable data solutions and APIs

• Contribute to the definition and adoption of data product standards (semantic models, APIs, metrics) across domains

Engineering & Solutioning 

• Develop technical solutions leveraging cloud-native platforms (e.g., GCP, AWS or Azure) that meet business and operational needs

• Collaborate with platform engineering and domain data teams to implement ingestion, transformation, orchestration, and monitoring patterns

• Support data scientists and AI/ML engineers by designing data products that enable advanced analytics and machine learning solutions (e.g., AssetBrain, CustomerBrain)

Collaboration & Influence 

• Serve as a key technical advisor to domain engineering teams and cross-functional partners

• Advocate for a data product mindset and promote data democratization through well-governed, discoverable, and high-quality data products

Governance & Quality 

• Ensure that data products meet enterprise governance, data privacy, security, and compliance requirements

• Incorporate metadata, lineage, and quality controls in all data product designs

What You Bring: 

• Passion for designing data solutions that enable trust, reuse, and agility at scale

• Ability to translate complex data requirements into high-quality technical designs that deliver business value

• Strong sense of ownership and commitment to building durable, high-quality architectures