Senior Data Engineer, Global

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.

Technology and Systems The Technology & Systems department drives technological innovation for the company and advances the technology strategy to support global growth. This includes IT, Software Development, OT / Automation Systems, and business process improvement. At Vantage, we are very hands on. In most cases, we specify, purchase, configure and maintain all networking and server hardware. We also work closely with partner VARs to learn about the latest technology changes so we can make informed purchase decisions.

The Technology & Systems department participates in designing each of our new data center building’s networking infrastructure, including but not limited to diverse pathways connecting to carriers, meet-me room (MMR) hosting (rack, cabs, ladders, cross connect panels…), wireless AP coverage, etc.

We rely on extreme collaboration with Sales, Construction, Operations and Corporate Functions to drive simplification, establish global standards with continuous improvement and speed to value. We are working to build a reliable, scalable, sustainable, and secure technology roadmap/landscape that enables us to better serve our customers and employees and be the partner of choice. Our focus is on speed to value with financial and execution discipline.

We strive to double the good, halve the bad, in half the time.

Position Overview This can be based on-site at our office in Denver, CO. in alignment with our flexible work policy (3 days on site required, 2 days flexible).Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data platform. This role will build and optimize high-performance data pipelines while integrating Microsoft AI tools such as SharePoint AI, Azure AI Foundry, and Fabric to enable advanced analytics and intelligent applications.

As a key contributor within the Technology and Systems team, you will bridge traditional data engineering with emerging AI capabilities, ensuring our data platform is prepared for automation, search, and predictive insights. You will collaborate with teams across the organization, including Human Resources, Operations, Finance, Sales, Procurement, Legal, and other business functions, translating business challenges into practical, data-driven and AI-enabled solutions that deliver measurable impact.

Essential Job Functions Design, build, and optimize scalable, secure data pipelines and data platform solutions using modern Microsoft cloud PaaS and SaaS technologies.

Develop data models and curated datasets that enable advanced analytics, AI-driven applications, and intelligent search experiences.

Collaborate with business analysts, data scientists, and stakeholders across Human Resources, Operations, Finance, Sales, Procurement, Legal, and other business functions to translate requirements into practical data and AI solutions.

Implement data quality, governance, security, and performance optimization practices to ensure reliable and scalable data systems.

Provide technical leadership and mentorship to junior data engineers, promoting engineering standards and best practices.

Participate in architecture discussions, code reviews, and platform design decisions to maintain a consistent and scalable enterprise data platform.

Evaluate emerging technologies and participate in technical risk assessments to support the evolution of the organization’s data and AI capabilities.

Contribute to a collaborative engineering culture through strong communication, ownership, and teamwork.

Duties Design and implement secure, scalable data platform frameworks aligned with modern cloud architecture principles.

Develop and maintain scalable data models that support analytics, AI workloads,…