Managed Solutions Infrastructure & Data Engineer

Who are we?

Joining our operations team means being at the center of everything – maintaining and evolving critical infrastructure that powers the digital world and delivers real impact for our customers, communities and society. 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

Performs technical tasks in managing the shared services infrastructure, ensuring service availability, and suggesting process improvements.

Responsibilities

• Define and implement data architecture solutions aligned with business needs, focusing on scalability, process automation, and analytics readiness

• Design and optimize data pipelines for processing large-scale structured and unstructured data via streaming/batch processing

• Create and maintain data models to support data automation processes, business analytics, and AI applications

• Collaborate with cross-functional teams to ensure data solutions address both technical and business objectives

• Build and maintain schemas and data flows in data warehouses and lakes, supporting analytics and operational decision-making

Qualifications

• Expertise in data pipelines (ELT/ETL), centralized data platforms, and process automation and optimization

• Hands-on experience in IaaS, Managed Services, infrastructure, and network business cases

• Strong knowledge of business processes, including ITSM, event monitoring, observability, availability management, customer fulfillment, and quote-to-cash cycles.

• Fluent in English (Must Have)

Tools & Frameworks:

• Tools: Google Storage, BigQuery, K8S, Prefect, Airflow, dbt, Dataform, Pub/Sub, AWS S3, Tableau, PowerBi

• Languages: Advanced SQL, Python (Must Have)

• Dimensional modeling and schema optimization for OLAP and OLTP systems

• Experience in building curated datasets using tools like dbt

• Expertise in integrating diverse IT Operations systems, including VMware, Commvault, NetApp, ServiceNow (Must Have)

• Proficient in ETL/ELT processes and workflow orchestration tools

• Familiarity with data lakehouse architectures for combining raw and refined datasets

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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