Senior Data & Automation Engineer (Infrastructure & Network)

Equinix; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Equinix seeks a seasoned professional to join their operations team as a data architect, focusing on designing and optimizing data pipelines and enhancing operational efficiency. The role requires expertise in Python, SQL, and networking protocols, with responsibilities including collaboration with cross-functional teams and building robust analytics datasets.

Qualifications

• Strong experience in data architecture and engineering.
• Proficiency in advanced Python and SQL.
• Previous experience as a networking analyst.

Responsibilities

• Define and implement data architecture solutions.
• Design and optimize data pipelines for large-scale data processing.
• Build and maintain data models and schemas.

Skills

Data Architecture

Python

SQL

Networking Protocols

Data Pipelines

Cloud-native Environments

Job description

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 interconnect foundational infrastructure at software speed. Equinix enables organizations to access key locations, partners, and opportunities to scale with agility, accelerate digital service launches, deliver exceptional experiences, and support sustainability goals.

Joining our operations team means being at the forefront of our efforts, maintaining critical facilities infrastructure as part of a close-knit team providing top-tier service to our data center customers. We value diversity in thought and contribution, and are committed to an equitable work environment that reflects our core values and drives our success.

Job Summary

We seek a seasoned professional with expertise in data architecture, engineering, and system integration to enhance operational efficiency. This role involves designing and optimizing data pipelines and models, building robust analytics datasets, and leveraging advanced skills in Python, SQL, and networking protocols (TCP/IP, SNMP, etc.). The ideal candidate will apply these skills across cloud environments and business processes (ITSM, Quote-to-Cash) to automate workflows, improve data availability, and deliver critical insights to operational teams.

What You Will Be Doing

• Define and implement data architecture solutions aligned with business needs, focusing on scalability, automation, and analytics readiness.
• Design and optimize data pipelines for processing large-scale structured and unstructured data.
• Create and maintain data models to support data automation, analytics, and AI applications.
• Collaborate with cross-functional teams to ensure data solutions meet technical and business objectives.
• Build and maintain schemas and data flows in data warehouses and lakes, supporting analytics and decision-making.
• Apply advanced Python engineering to develop robust data processing and automation solutions.
• Utilize advanced SQL for data modeling, transformation, and querying at scale.
• Leverage experience as a networking analyst to understand protocols (TCP/IP, SNMP, ICMP, DNS, HTTP, SSL) and interconnectivity for network data integration.

What We Expect From You

• Strong experience in data architecture, engineering, or analytics engineering.
• Proficiency in advanced Python.
• Mastery of advanced SQL.
• Previous experience as a networking analyst with knowledge of network protocols.
• Expertise in schema design, dimensional modeling, and building efficient data structures.
• Understanding of pipeline orchestration, performance optimization, and handling data in cloud-native environments.
• Ability to build query-ready datasets focused on actionable insights.
• Experience in creating data models from infrastructure logs for SLA, resource, and usage metrics.
• Expertise in data pipelines (ELT/ETL), centralized data warehouses/lakes, and process mining.
• Hands-on experience with IaaS, Managed Services, and private cloud.
• Strong knowledge of business processes including ITSM, event monitoring, availability management, customer fulfillment, and quote-to-cash.
• Proficiency in English is required.

Equinix is committed to an inclusive employment process. If you need assistance or accommodations, please complete this form.

We are an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, disability, or other protected statuses.