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.
Responsibilities
- 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 data 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 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
Skills
- 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
- Travel required is expected to be up to 10% but may increase over time as the business evolve
- Bilingual in English/French or English/German is considered an asset but not required
- 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
Benefits
- 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 401k program that includes company match
- Many other additional voluntary benefits
- Above market total compensation package
- Comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations
- Array of benefits, recognition, training and development
Company Overview
Vantage 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.