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: 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. Position Overview 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. Essential Job Functions 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. 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 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 covering platform architecture, design decisions and engineering standards. Communicate emerging data, analytics and AI technologies to the engineering team to support platform evolution. Additional duties as assigned by Management. Job Requirements Bachelor’s degree in Engineering, Computer Science, Data Analytics or a related field, or equivalent experience. Minimum of 5 years of experience in data engineering or data platform architecture. Proficiency in Python (or equivalent programming language) for building and maintaining data pipelines, automation and data processing workflows. Proficiency in SQL for querying, transformation and performance tuning across relational and analytical data stores. Strong understanding of data modeling, ETL/ELT pipelines and modern data integration patterns. Experience analyzing enterprise data sources to identify data relationships, transformations and business rules. Experience building solutions on the Microsoft Azure platform with exposure to services such as Azure Databricks, Azure Synapse, Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Data Lake Storage Gen2 and Power BI. Experience implementing CI/CD pipelines using DevOps tools such as GitHub or Azure DevOps. Strong knowledge of dimensional data modeling including fact and dimension tables and star or snowflake schemas. Working knowledge of networking and security fundamentals, including internet protocols, firewalls and proxy configurations. Strong communication and interpersonal skills with the ability to collaborate across teams in a fast‑paced environment. Experience working in Agile development environments. Experience using collaboration and project tracking tools such as Jira or Microsoft Project. Bilingual in English/French or English/German is considered an asset but not required. Travel up to 10% may be required. Desired Qualifications Experience working with large‑scale datasets and distributed data processing frameworks. Familiarity with AI‑enabled data solutions including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cognitive Services or similar technologies. Exposure to additional Azure services such as Azure Functions, Logic Apps, Power Apps and Azure API Management, with the ability to evaluate and integrate platform capabilities as needed. Experience delivering technical training, documentation or mentorship related to data and analytics tools. Exposure to data platform modernization or cloud migration initiatives. Familiarity with continuous improvement practices such as Lean, Six Sigma or operational excellence frameworks. Experience supporting enterprise collaboration platforms such as SharePoint, including governance and knowledge management models. Physical Demands and Special Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds. Additional Details Salary Range: $150,000-160,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations). This position is eligible for company benefits including but not limited to medical, dental and vision coverage, life and AD&D, short and long‑term disability coverage, paid time off, employee assistance, participation in a 401(k) program that includes company match and many other additional voluntary benefits. Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies and experience and may fall outside of the range shown. We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other’s strengths and respecting each other’s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement and paid leave benefits exceeding local expectations. Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development and the knowledge that your contribution adds value to the company and our community. Don’t meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values. Vantage Data Centers is an Equal Opportunity Employer. Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers. We’ll be accepting applications for at least one week from the date this role is posted. If you’re interested, we encourage you to apply soon—we’re excited to find the right person and will keep the role open until we do! #J-18808-Ljbffr Vantage Data Centers