
Principal - Data Products & Solutions
Principal - Data Products & Solutions
- JR-153455
- 잡종
- Dallas
- Frisco
- Information Technology
- Full time
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
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.
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