[Remote] Senior Data Engineer, Global

Note: The job is a remote job and is open to candidates in USA. Vantage Data Centers is a leading provider of data center solutions, seeking a Senior Data Engineer to evolve and scale their enterprise data platform. The role involves building high-performance data pipelines, integrating AI capabilities, and collaborating with various teams to deliver data-driven solutions.ResponsibilitiesDesign, build, and optimize scalable, secure data pipelines and data platform solutions using modern Microsoft cloud PaaS and SaaS technologiesIntegrate AI capabilities into the data platform using technologies such as Azure OpenAI, Azure AI Search, Azure AI Foundry, Cognitive Services, and other emerging Microsoft AI servicesDevelop data models and curated datasets that enable advanced analytics, AI-driven applications, and intelligent search experiencesCollaborate 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 solutionsImplement data quality, governance, security, and performance optimization practices to ensure reliable and scalable data systemsProvide technical leadership and mentorship to junior data engineers, promoting engineering standards and best practicesParticipate in architecture discussions, code reviews, and platform design decisions to maintain a consistent and scalable enterprise data platformEvaluate emerging technologies and participate in technical risk assessments to support the evolution of the organization’s data and AI capabilitiesContribute to a collaborative engineering culture through strong communication, ownership, and teamworkDesign and implement secure, scalable data platform frameworks aligned with modern cloud architecture principlesDevelop and maintain scalable data models that support analytics, AI workloads, and enterprise reportingContribute to data and AI platform architecture following Microsoft Well-Architected Framework and cloud best practicesDefine and document security considerations, controls, and governance practices for protecting data and platform assetsAssess the impact of new technologies, architectural changes, and platform enhancements on the organization’s data architecture and security postureMaintain clear and comprehensive technical documentation covering platform architecture, design decisions, and engineering standardsCommunicate emerging data, analytics, and AI technologies to the engineering team to support platform evolutionAdditional duties as assigned by ManagementSkillsBachelor's degree in Engineering, Computer Science, Data Analytics, or a related field, or equivalent experienceMinimum of 5 years of experience in data engineering or data platform architectureProficiency in Python (or equivalent programming language) for building and maintaining data pipelines, automation, and data processing workflowsProficiency in SQL for querying, transformation, and performance tuning across relational and analytical data storesStrong understanding of data modeling, ETL/ELT pipelines, and modern data integration patternsExperience analyzing enterprise data sources to identify data relationships, transformations, and business rulesExperience 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 BIExperience implementing CI/CD pipelines using DevOps tools such as GitHub or Azure DevOpsStrong knowledge of dimensional data modeling including fact and dimension tables and star or snowflake schemasWorking knowledge of networking and security fundamentals, including internet protocols, firewalls, and proxy configurationsStrong communication and interpersonal skills with the ability to collaborate across teams in a fast-paced environmentExperience working in Agile development environmentsExperience using collaboration and project tracking tools such as Jira or Microsoft ProjectTravel required is expected to be up to 10% but may increase over time as the business evolveBilingual in English/French or English/German is considered an asset but not requiredExperience working with large-scale datasets and distributed data processing frameworksFamiliarity with AI-enabled data solutions including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cognitive Services, or similar technologiesExposure 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 neededExperience delivering technical training, documentation, or mentorship related to data and analytics toolsExposure to data platform modernization or cloud migration initiativesFamiliarity with continuous improvement practices such as Lean, Six Sigma, or operational excellence frameworksExperience supporting enterprise collaboration platforms such as SharePoint, including governance and knowledge management modelsBenefitsEligible for company benefits including but not limited to medical, dental, and vision coverageLife and AD&DShort and long-term disability coveragePaid time offEmployee assistanceParticipation in a 401k program that includes company matchMany other additional voluntary benefitsAbove market total compensation packageComprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectationsArray of benefits, recognition, training and developmentCompany OverviewVantage Data Centers designs and develops data center campuses to large cloud providers, AI enterprises, and other tech-driven businesses. It was founded in 2010, and is headquartered in Denver, Colorado, USA, with a workforce of 1001-5000 employees. Its website is https://vantage-dc.com.