Senior Data Engineer; Global
Listed on 2026-07-04
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IT/Tech
Data Engineering, AI Engineer (Applied/Software)
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 SystemsThe 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: we specify, purchase, configure and maintain all networking and server hardware and work closely with partner VARs to learn about the latest technology changes so we can make informed purchase decisions.
The department participates in designing each of our new data center building’s networking infrastructure, including diverse pathways, meet‑me room hosting, wireless AP coverage and more.
This position will 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.
- Design, build, and optimize scalable, secure data pipelines and data platform solutions using modern Microsoft cloud PaaS and SaaS technologies.
- Integrate AI capabilities into the platform using technologies such as Azure OpenAI, Azure AI Search, Azure AI Foundry, Cognitive Services and other emerging Microsoft AI services.
- 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.
- 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 and enterprise reporting.
- Contribute to data and AI platform architecture following Microsoft Well‑Architected Framework and cloud best practices.
- Define and document security considerations, controls and governance practices for protecting data and platform assets.
- Assess the impact of new technologies, architectural changes and platform enhancements on the organization’s data architecture and security posture.
- Maintain clear and comprehensive technical documentation…
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