Data Engineering Lead for Analytics Solutions
2 days ago
Winnipeg, Manitoba, Canada
ODAIA
Full-time
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Join RBC as a Data Engineering Lead, focusing on analytics solutions and AI readiness, located in Toronto. This senior position demands strategic leadership and technical expertise.
You will guide data initiatives, translating complex business needs into actionable technical directives. This position emphasizes ownership of analytics frameworks, building dashboards, and ensuring the reliability of data consumed by AI/ML systems. With a deep understanding of data governance and quality, you will mentor teams and enhance operational efficiencies.
Key Responsibilities: • Lead the creation of technical specifications for business needs • Analyze customer behaviors for data-driven insights • Design and maintain analytics dashboards and reports • Ensure data quality by validating data integration processes • Guide junior analysts in best analytics practices
Requirements: • Over 10 years of experience in data analytics or engineering • Proven leadership in managing enterprise data projects • Advanced SQL and understanding of data workflow solutions • Hands-on experience with Kafka and data platforms • Strong communication skills for engaging with stakeholders
Support RBC’s vision for a cutting-edge data platform, enhancing analytics for informed decision-making.
You will guide data initiatives, translating complex business needs into actionable technical directives. This position emphasizes ownership of analytics frameworks, building dashboards, and ensuring the reliability of data consumed by AI/ML systems. With a deep understanding of data governance and quality, you will mentor teams and enhance operational efficiencies.
Key Responsibilities: • Lead the creation of technical specifications for business needs • Analyze customer behaviors for data-driven insights • Design and maintain analytics dashboards and reports • Ensure data quality by validating data integration processes • Guide junior analysts in best analytics practices
Requirements: • Over 10 years of experience in data analytics or engineering • Proven leadership in managing enterprise data projects • Advanced SQL and understanding of data workflow solutions • Hands-on experience with Kafka and data platforms • Strong communication skills for engaging with stakeholders
Support RBC’s vision for a cutting-edge data platform, enhancing analytics for informed decision-making.