
AI and Data - Manager or Senior Manager - Data Architect (SAS)
- Toronto, ON
- Permanent
- Temps-plein
- Lead and provide oversight into the design of end-to-end data solutions including data architecture, data integration, data modelling, security, privacy, regulatory, performance, data governance, business intelligence, etc. and to ensure alignment to the overall business needs.
- Provide technical oversight and recommendations on data infrastructure (on-prem and Cloud).
- Lead discovery sessions with primary business stakeholders to obtain knowledge of business objectives, challenges, and requirements.
- Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to stakeholder groups.
- Support solution delivery by providing insights to the application development teams and project managers that plan and execute delivery activities.
- Support implementation processes in association with internal and external development teams. Participate in project-related activities.
- Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards, and best practices.
- Create solution architecture documents that describe and explain solution attributes and associated benefits.
- Stay current on emergent technologies relevant to supporting the data solutions delivered for customers.
- Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented.
- Assist in the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership.
- Bachelor's degree in Information Technology, Software Engineering, Computer Science, or related field. Related professional certifications and/or training is considered an asset.
- 10+ years demonstrated experience in the design and implementation of modern data architectures to support large scale data solutions.
- Expert knowledge of data patterns to support architectures and data management concepts/processes including ETL/ELT, Data Mesh, date lake, data lakehouse, data warehouse, data streaming, data virtualization, etc.
- Strong Expertise in SAS, SAS Viya, SAS migration roadmap and strategy.
- Strong understanding of data modeling (dimensional, data vault, etc.) principles and techniques based on established methodologies (e.g., Kimball).
- Strong knowledge of ETL tools such as Informatica, SSIS, Talend, DataStage, etc. as well as standards and best practices for ETL development.
- Strong knowledge of data governance framework principles and vendor platforms (e.g., Collibra, Informatica EDC/Axon).
- Experience with data manipulation and visualization tools such as Tableau, Power BI, etc.
- Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business requirements.
- Strong Knowledge of ETL frameworks using Azure Data Factory and Databricks Notebooks.
- Strong knowledge in data warehousing concepts and data platforms (e.g., Snowflake, Databricks).
- Strong knowledge of Azure-based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, and Events hub.
- Proficient in building secure architecture using: Encryption, Azure key vault, Access control, Network security, and Advanced data security.
- Knowledge of MDM concepts and solutions.
- Demonstrated experience deploying data solutions in Big Data platforms (e.g., AWS, Azure, GCP, etc.).
- Strong analytical and decision-making skills.
- Experience working within multidisciplinary, distributed, and collaborative environments.
- Support and coaching from some of the most engaging colleagues in the industry
- Learning opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that's right for you