3 days ago
Remote, CanadaSenior
Responsibilities
- Communicate complex financial data structures and nuances to business stakeholders.
- Translate accounting and finance requirements into actionable technical solutions.
- Implement and monitor data ingestion and transformation from multiple financial and ERP source systems.
- Maintain enterprise Microsoft Fabric lakehouses, warehouses, and Power BI semantic models for financial analytics.
- Map data and logic from ERP systems into centralized database sources.
- Deliver accounting data solutions while supporting a scalable financial data warehouse and reporting platform.
- Gather and consolidate financial data into centralized locations and support data governance and quality management.
- Estimate technical work and develop task plans and timelines with project managers.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Finance, Accounting, or an equivalent 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 translating complex business needs into technical solutions and communicating across business domains.
- Strong written, verbal, presentation, interpersonal, organizational, facilitation, and problem-solving skills.
- Python proficiency is preferred.
- Technical familiarity with ERP systems such as D365 and Microsoft Navision is preferred.
- Background in accounting or finance business processes is highly 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, cloud, and other emerging technologies.
- Exposure to Fortune 500 clients and complex digital transformation projects.
- Work in a research-focused organization with 60+ patents filed across various disciplines.
- Collaborative culture emphasizing transparency, diversity, integrity, learning, and growth.
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.