Job Title:  Manager, Data Architect

Job Description

Reporting to the Director, Enterprise Data Architect, the Manager, Data Architect is a skilled problem solver who can build and support data management frameworks and address data-related issues.
This individual plays a crucial role in shaping the data landscape of Canada Post, ensuring that data assets are managed effectively, securely, and aligned with the business objectives. The Managers, Data Architect will collaborate with the Project Manager/Fusion Team to ensure solutions adhere to data quality, best practices and compliance standards within a specific domain.
 

Job Responsibilities

Functional / Technical 

●    Plan and assist with the implementation of the enterprise data architectures, including functional features and operational plans

●    Provide oversight into the design of end-to-end data solutions including data architecture, data integration, data modeling, security, privacy, regulatory, performance, data governance, business intelligence, etc. and ensure alignment to overall business needs

●    Enable continuous improvement of data architecture & data processes through regular stakeholder engagement, process reviews and tracking of key metrics/performance indicators

●    Design and implement effective data solutions and data models to store and retrieve organizational data, including architecting overall organizational data strategy (logical data model designs, data solution development and implementation standards, 

●    Recommend data governance processes, security standards, and models that will provide architectural guidelines to support development initiatives

●    Develop strategies for integrating data from various sources, including databases, APIs, data warehouses, and third-party data

●    Review data pipelines for automation opportunities 

●    Lead requirements prioritization and define project scope, goals, timelines and deliverables for data solutions

●    Manage constraints, assumptions, and risks for requirements, and communicate to appropriate stakeholders

●    Design and plan architectural and functional components and processes supporting the creation of data products  

●    Support cross domain data concerns, including, governance, and consolidation 

●    Create and maintain detailed documentation of the data architecture, data flows, data dictionaries, and data lineage
 

Job Responsibilities (continued)

Leadership 

●    Be an evangelist and agent of cultural change by championing the use of digital technology and practices in order to establish a digital mindset from the top down  

●    Drive collaboration, knowledge sharing and best practices among partners and colleagues to help establish a robust digital ecosystem, positively impacting business outcomes

●    Take responsibility to advance the digital dexterity of business partners and present new business options and opportunities based on successful digital examples 

Continuous Improvement

●    Maintain external accreditations and an in-depth understanding of current and emerging technologies, external regulation, and industry best practices through continuing professional development, attending conferences, and reading specialist media

●    Contribute to the development and enhancement of technical data standards, processes, and tools to increase efficiency and effectiveness

●    Stay updated with the latest data management technologies and tools, evaluating their applicability to Canada Post’s needs.
 

Qualifications

Education / Certifications

●    Completed post-secondary education, preferably in Computer Science, Information Systems, Technology, Business, Engineering, or related field and/or equivalent combination of education and experience

●    A Masters or Professional level degree (e.g., MBA) an asset

●    Professional designation or certification an asset (e.g., CDMP, TOGAF, ITIL Foundations, IT Architecture, Certifications from Database vendors, Cloud Certifications)

Experience

●    Minimum of (5) years of experience as a Solution, Infrastructure, Business or Data Architect

●    Minimum of (5) years of experience designing data architectures or components

●    Minimum of (5) years of relevant functional experience including leading the delivery of customer-focused strategies from conception to completion

●    Experience with Data & Analytics (D&A) related systems and platforms, such as: Data Capturing, Data Organizing (e.g., data storing and retention – databases, data lake, RDBMSs), Data Preparation and ML pipelines, Data Delivery (e.g., API and streaming), Data Analytics, ML, model management, and AI using AWS services and ecosystem (e.g., S3, EMR, SageMaker, Glue, QuickSight, DynamoDB, RDS, Athena)

●    Experience with data management, governance, and security processes and related technologies such as: Metadata management, Information cataloguing, Data Profiling, Data Access control, IAM, data protection, secrets management (e.g., using AWS DataZone, Talend data catalogue, Azure Perview, IGC, Glue Catalog, Glue DataBrew, Lake Formation, Glue Catalogue, AWS KMS)

●    Experience working on data warehouse, ETL, BI, ML, and data visualization (e.g., Teradata, Power BI, DataStage, Databricks, Python, Scala, R, Java, SQL, AutoML)

●    Experience working in a unionized environment an asset

●    Experience in managing relationships with technology, operations, and business members

●    experience with cloud data platforms an asset 

●    DataOps experience

●    Relevant experience in working on projects that involve building data pipelines and ingestion methods, designing microservices based products and processing mapping of data and analytics solutions

Other Candidate Requirements

●   AWS Cloud architect certification and tangible Teradata platform experience considered an asset

Other Information