Senior Big Data Architect

Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis.

To develop and promote strategies, roadmaps, architectural guidelines, standards and best practices for the evolving enterprise information management practice across RBC. To support key programs with expert guidance and consultancy in all matters relating to information management. To provide thought leadership in researching and architecting emerging technology solutions to meet business objectives and increase our Business Partner Satisfaction.

* Provide leadership and direction for enterprise data strategies; develop strategy presentations, roadmaps, socialize concepts, develop business cases, liaise with teams for planning and implementation * Provide technical leadership in data management: data modeling and db design, DWE Solution Architecture, Big data Architecture, data integration, data movement and replication, business intelligence, data quality, reference and master data management, data governance etc. * Provide DW/Big data Solution Architecture expertise * Provide leadership and direction for integrating and rationalizing data design within RBC’s Data Management Environment, promoting reuse and quality * Promote the goals of data integration, data stewardship, data quality and governance. * Provide leadership and direction for enterprise data strategies including Strong skills in data management: data modeling and db design, DWE/Big data Solution Architecture, data integration, data movement and replication, business intelligence, data quality, reference and master data management, data governance

**Must-have** * Strong skills in data management: data modeling and db design, DWE Solution Architecture, data integration, data movement and replication, business intelligence, data quality, reference and master data management, data governance * Hands-on implementation experience working with a combination of the following technologies: Hadoop distributions, Storm and Spark streaming, Kafka, Spark advanced analytics, NoSQL data warehouses such as Hbase and Cassandra, data processing frameworks * Experience in designing and implementing big data solutions. This includes creating the requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution * Expertise in database integration patterns and performance considerations for operational and DWE databases * Experience with patterns and technologies in emerging areas: Big Data, Hadoop, Hortonworks, Aster, NoSQL databases, Visualization tool, Advanced Analytics, BI Virtualization, Cloud etc. * Domain Knowledge in financial services platforms and enterprise functions (e.g. Banking, Insurance, Investments, Wealth Management, AML, Risk, Finance, Fraud etc.) **Nice-to-have** * Experience with RBC standard technologies (Teradata, DB2, SQL Server, Oracle, Datastage, Oracle BI etc.) * Experience with Hortonworks Data Platform (HDP) * Experience with Vertica or other MPP databases * Experience with Java/Python/functional programming