3 days ago
Remote, CanadaSenior
Responsibilities
- Communicate complex data structures and nuances to business stakeholders.
- Translate business requirements into actionable technical solutions.
- Implement and monitor data ingestion and transformation from multiple source systems for Microsoft Fabric reporting.
- Maintain enterprise-level Microsoft Fabric lakehouses, warehouses, and Power BI semantic models.
- Map data and logic from different ERP systems into centralized database sources.
- Support the development of a modern, scalable data warehouse and reporting platform.
- Deliver business needs on schedule while coordinating technical work and timelines.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or an equivalent technical field.
- At least 6 years of experience in data engineering or data analytics.
- High-level expertise in SQL.
- High familiarity with Microsoft Fabric infrastructure and Power BI data modeling and reporting.
- Familiarity with data modeling, data governance frameworks, and data quality management.
- Experience consolidating multiple data streams into centralized locations.
- Experience translating complex business needs into actionable technical solutions.
- Demonstrated communication across business domains and ability to engage business process owners.
- Python proficiency is a plus.
- Familiarity with ERP systems such as D365 and Microsoft Navision is a plus.
- Background in accounting or finance business processes is preferred.
- Experience with Microsoft Office, Planview, and ServiceNow is required or expected.
Benefits
- Remote work location in Canada.
- Opportunities to upskill and work with AI, ML, data, and cloud technologies.
- Exposure to Fortune 500 clients and complex digital transformation projects.
- Research-focused environment with access to innovation and patented technologies.
- Collaborative culture emphasizing learning, growth, diversity, transparency, and integrity.
About Quantiphi
Quantiphi is an AI-first digital engineering and consulting firm that designs and implements machine learning, data, and cloud solutions for large enterprises across industries. Its teams build production systems—such as generative AI applications, computer vision, and predictive analytics—primarily on Google Cloud and other hyperscalers, delivered as professional services and managed solutions. Founded in 2013 and headquartered in Marlborough, Massachusetts, the company is privately held and a Google Cloud partner.