Senior Data Modeler with Capital Markets, RDBMS and Hadoop experience to support a global data strategy with a major financial services client- 15100

Senior Data Modeler with Capital Markets, RDBMS and Hadoop experience to support a global data strategy with a major financial services client- 15100

Location Address: Hybrid/Toronto - onsite 3 days per week

Contract Duration: 6 months from start date

Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Information Architect/Data Modeler

The Client has a clear vision for a Global Data Strategy. By liberating and strengthening the data capabilities we will enable deeper insights, better product and service design, and more effective business processes. The result will be exceptional experiences for our customers.

Global Wealth and Management division (GWAM) is seeking a Data Modeler reporting into the Director, Information Architecture. Located in Toronto, Canada the role will focus on supporting the data strategy for the Investment Data Lake and building out it’s data assets.

Job Description:

• Understand and translate business needs into data models supporting long-term solutions.
• Closely interact with business partners, stakeholders, functional experts, business analysts, contractors, and developers to understand the system requirements and architect and design the data model and database schema based on the requirements.
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using standard methodologies to ensure high data quality and reduced redundancy.
• Optimize and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Develop standard methodologies for standard naming conventions and coding practices to ensure consistency of data models.
• Communicate effectively with no ambiguity during project execution on data model
• Understand and articulate interdependencies, constraints of the data model to Data Engineers, project teams and business teams
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Understanding and experience in OLAP, reporting and analytics principles.
• Own the data definitions for all data tables and maintain data lineage
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges and propose appropriate solutions.
• Develop data models according to company standards.
• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.

Must Have Skills:

• Solid experience with business intelligence and data warehousing development technologies, RDBMS, Hadoop and Analytics Environments.
• Minimum 5 to 8 years of experience in IT with a minimum of 4+ years in Data Model design.
• Expertise with Big data technologies and Hortonworks/Cloudera HADOOP platform as well as BI and data warehousing development technologies.
• Strong Data Analysis skills
• Strong Data Modeling skills
• Experience with Azure Solutions
• Expertise with Power Designer/Erwin Data Modeling tool
• Familiarity with Capital Markets data

Nice-To-Have Skills:

• Wealth management/capital markets industry would be nice to have

Education:

• Bachelor’s degree in computer science, information systems or related.

Best vs. Average: best candidate - someone who can demonstrate that they have done the work, desciribe data models, understand the business,

Candidate Review & Selection

• # Step Process: 2 rounds of interviews. Virtual