Sr Data Engineer, Data Analytics & Intelligence, NA
- Compensation
- Not disclosed
- Location
- Denver, Colorado
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Nice to have
- Experience working with distributed data processing frameworks, including Apache Spark.
- Experience preparing governed data products for AI-enabled use cases, including Microsoft Fabric Lakehouse, semantic models, Fabric/Data Agent patterns, ontology or taxonomy alignment, and explainable
- Familiarity with data observability, metadata management, lineage, data contracts, reliability indicators, and operational best practices in production environments.
- Familiarity with additional Azure services such as Azure Functions or Logic Apps in support of data workflows.
- Experience supporting data platform enhancement, refactoring, modernization, or reusable architecture initiatives.
- Experience working with structured and unstructured operational sources, such as enterprise applications, operational workflows, documents, dashboards, and knowledge assets.
- Experience working in a scaling or fast-paced organization where priorities evolve quickly and practical delivery discipline is required.
Full description
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.
Operational Excellence Data Team
Within Operational Excellence, the Data Analytics & Intelligence function enables Operations to move from reactive reporting to proactive, insight-driven execution. The team is responsible for building trusted data foundations, governed KPI frameworks, operational intelligence products, and AI-ready data assets that support performance visibility, decision-making, predictive insights, and scalable operational excellence across North America. This work directly supports Operational Excellence's mission of embedding delivery rigor, process discipline, and data intelligence into how Operations plans, executes, predicts, and continuously improves.
Position OverviewThis 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 Sr Data Engineer to help build, operate, and scale the governed data foundation for Operations, North America. This role is designed for an engineer who can independently deliver production-ready pipelines, curated datasets, semantic-model inputs, and AI-ready data products that support reporting, Executive reporting insight preparation, and the emerging AI Insight Solution.
As part of the Data Engineering & Business Intelligence team, you will be responsible for delivering reliable data products that support analytics, AI data agents, operational intelligence, reporting, and an emerging AI-enabled platform. You will work closely with IT Global, solution build teams, business SMEs, and data governance partners to ensure data products are secure, reusable, explainable, and aligned with enterprise AI / Fabric direction.
Success in this position requires comfort with ambiguity, strong execution discipline, and accountability for building trusted data assets that can be reused across analytics, operational intelligence, and AI-enabled use cases.
Essential Job Functions
- Design, build, and maintain reliable, scalable data pipelines using Python and PySpark on the Microsoft Azure data platform.
- Develop and operate batch and incremental data pipelines leveraging Azure Data Factory for orchestration and Azure Data Lake Storage Gen2 as the primary data store.
- Build and maintain curated lakehouse / gold-layer datasets and semantic-model inputs that support governed operational insights and AI-enabled consumption.