Intone
From Intone's careers page
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We are seeking a senior-level Snowflake Data Warehouse Engineer for a contract position (6+ months) to work remotely.
We are seeking a senior-level Snowflake Data Warehouse Engineer for a contract position (6+ months) to work remotely. This role focuses on designing, developing, and supporting scalable analytical solutions for investment, risk, performance, and operational functions. You will work with enterprise-grade data platforms and complex financial datasets, partnering across investment, risk, performance, and operational teams to translate business requirements into robust analytical solutions.
Design, develop, and maintain Power BI reports, dashboards, and semantic models supporting investment and business decision-making.
Partner with investment, risk, performance, and operational teams to translate complex business requirements into scalable analytical solutions.
Develop advanced DAX, dimensional models, calculations, hierarchies, and reusable business logic.
Develop and optimize Snowflake SQL supporting portfolio, position, transaction, security, benchmark, performance, and risk datasets.
Optimize Power BI solutions for performance, scalability, usability, and maintainability.
Troubleshoot complex reporting, data, semantic model, refresh, and performance issues.
Develop testing, reconciliation, monitoring, and data quality controls to ensure reporting accuracy and reliability.
Support source control, automated deployment, and CI/CD practices for business intelligence solutions.
Establish and promote Power BI development standards, visualization standards, and reporting best practices.
Document business logic, data models, technical designs, and operational procedures.
Required
7+ years of experience developing enterprise business intelligence or analytical solutions.
5+ years of advanced hands-on Power BI experience in production environments.
Expert-level experience with Power BI semantic modeling, DAX, performance optimization, security, refresh strategies, and Power BI Service.
Expert-level SQL skills and significant hands-on Snowflake experience supporting analytical workloads.
Strong experience with dimensional modeling, including fact tables, dimensions, hierarchies, and slowly changing dimensions.
Direct experience in asset management, investment management, institutional investment, or closely related financial services industry.
Strong understanding of investment data including portfolios, positions, transactions, securities, benchmarks, exposures, performance, and risk.
Experience working directly with portfolio managers, analysts, risk professionals, performance teams, or investment operations staff.
Experience developing reporting solutions using large, complex, and performance-sensitive financial datasets.
Strong written and verbal communication skills with the ability to translate between technical and investment audiences.
Experience with automated testing, reconciliation, data quality, source control, and CI/CD practices.
PL-300 Microsoft Power BI Data Analyst Associate Certification.
CFA, CAIA, or other investment-industry designations.
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