Lee 发表于 2020-5-22 21:51:55

Data Architect - Toronto

Position Summary

The Data Architect role requires an individual with a minimum of 5 - 7 years of experience who possesses a wide range of data architecture and integration experience. The Data Architect is a key technical leadership position that will help set the technical direction, enhancing BI solutions, providing architectural leadership in data warehouse, ETL and analytic deliverables. The candidate must be a problem solver who has acute attention to detail, but able to maintain and drive towards the big picture solution. The candidate must have exceptional communication skills, and be good at mitigating risk and addressing concerns pro-actively. The architect will liaise with internal staff to interpret business demands to design and deliver a flexible data foundation that will support a dynamic analytics environment. The candidate must have a technical background in solution architecture, reporting and analytics, ETL tools and methodology, and various modeling techniques (Application, Data Warehouse, Data Marts, etc.).

Position Scope: No revenue or budget accountability

People Management: No Management or Supervision responsibilities

Reporting to: Director, Data Analytics and Reporting

Responsibilities
Lead data architecture discussion and design, overseeing design of the information architecture for the data warehouse, data marts and staging areas
Provide technical leadership in all phases of a project from discovery and planning, through implementation and delivery
Collaborates with project managers and business leaders for all projects involving enterprise data
Take leadership in addressing data-related problems relating to system integration, compatibility and multiple-platform integration
Identify and develop opportunities for data reuse, migration or retirement
Work through all stages of a data solution life cycle: analyze/profile data, create conceptual, logical and physical data model designs, provide guidance on ETL and analytics solutions
Oversee standardization of data definition, development of data models, and data quality practices
Participate in data strategy and road map exercises
Participate in troubleshooting and performance optimization with the BI and Data Engineering teams

Qualifications
A Bachelor’s Degree in a technology area, preferable in Computer Science or Engineering
5 - 7 + years equivalent work experience in Information Technology
5+ years of hands-on experience in Requirements and Data Analysis, Data Architecture and/or Data Warehousing in an enterprise data environment
Experience and proven success in leadership roles supporting business analytics, data governance, data management and data quality
Hands on experience with enterprise data architectures and toolsets, including relational, 3NF and dimensional models
Experience with data integration tools (e.g. IBM DataStage, Microsoft SSIS), RDMS (e.g. SQL Server, MySQL) and BI Tools ( e.g. Cognos, SSRS, Tableau)
Experience in Big Data modeling and methodologies (Hadoop, Hive, etc.) and setting up data exploration and algorithm execution environments for data science teams
Excellent data analysis and problem-solving skills, with a superior attention to detail
Highly organized, self-motivated, customer oriented and able to work independently as well as within a team
Ability to communicate across all levels of the organization, with both technical and business stakeholders
Ability to develop and present new ideas and conceptualize new approaches and solutions
Highly flexible and able to quickly adapt to changing priorities

Employment Type: Full-time
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