New

Principal - Data Product & Solutions

Equinix
United States, Texas, Frisco
6160 Warren Parkway (Show on map)
Jul 18, 2025
Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centersacross 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 hirehardworking people who thrive on solvingchallengingproblems 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 providingan 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 Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field 10+ years of experience in data engineering, solution engineering, or architecture roles, including experience designing and delivering data products Hands-on experience with enterprise-scale data solutions, ideally in data center, cloud infrastructure, or technology companies Strong understanding of data governance, quality, and compliance standards Preferred Qualifications Experience with data products such as Customer360, Product360, Asset360, or similar cross-domain solutions Cloud certifications (e.g., Google Professional Data Engineer, AWS Big Data Specialty) 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.