Sr. Manager, Data Solutions Design

Date: Apr 1, 2021

Location: Toronto, ON, CA, M4W 1G9

At Rogers, we connect Canadians to a world of possibilities and the memorable moments that matter most in their lives. Every day we wake up with one purpose in mind. To bring loved ones together from across the globe. To connect people to each other and the world around them. To help an entrepreneur realize their dream. A sports fan celebrate a special moment.

Because we believe connections unite us, possibilities fuel us, and moments define us.


As we grow our team, the well-being of our team members remains our top priority. To ensure the health and safety of our team members, including those in the recruitment process, our team members are temporarily working from home.

Rogers is seeking a Sr. Manager, Data Solutions Design to lead the function that is responsible for estimating and designing design data products for the enterprise and will interface with all Rogers business units. This role will be a member of the Enterprise Data & Analytics (ED&A) team reporting to the Director, Data Solutions Design.

This role will perform analysis and provide designs/solutions for various projects consistent with the corporate data design.  This will include operational as well as data warehouse/BI projects.  The incumbent must provide leadership and guidance in the research, experimentation, business analysis, and use of systems technology including design, integration capabilities, and database management systems.  The candidate must also be able to work closely with the users, applications/systems designers and developers on various projects and support teams.  The candidate is expected to have solid theoretical as well as hands-on practical experience on every step of the enterprise data design process - from high-level logical design to the final implementation of the envisioned design.


 Key Accountabilities

  • Lead efforts around Data Design / Model Design - Create conceptual, logical and physical data models
  • Provide data design and data modeling oversight for business units
  • Maintain RCI Modern Day Data Design to support key RCI data strategies (i.e. EDL, CDP, MDM, etc.)
  • Create and maintain roadmaps to support key RCI data strategies (i.e. EDL, MDM, Azure, AWS)
  • Work with Enterprise Architecture to set, communicate/educate and maintain data design standards and best practices
  • Work with Data Engineering and BI/Analytics/Data Science teams to set, communicate/educate and maintain data design standards and best practices
  • BI Design / Reporting - Design end-to-end functional blueprints for BI applications
  • ETL Design - Design data integration processes for Data Acquisition, Change Data Capture, Data Cleansing, Data Transformation, Data Standardization, Data Summarization, Data Aggregation, Business Rule Implementation; Create schedules for process orchestration
  • Deliver scalable and reliable data solutions leveraging Hadoop, Azure, AWS, Databricks, traditional RDBMS, BI tools and APIs
  • Assisting project teams with Solution Reviews and delivery to ensure production requirements are met.
  • Evolve data platform, analytical and data management tools and roadmap
  • Collaborate with Business, IT and external stakeholders to identify and implement a strategic portfolio of data solutions
  • Collaborate with various vendor partners to identify appropriate technology requirements
  • Develop talent and promote employee engagement






  • Undergraduate degree in Computer Science or Engineering, or related field
  • 10+ years experience working in IT and data
  • 4+ years of management experience
  • 3+ years of Big Data management (Hortonworks HDP 2.6.x, HDF) and technical experience with Hadoop components/services such as: Hive, Pig, Hbase, Sqoop, Kafka, Ambari, Spark, Tez, Nifi.
  • 3+ years Business Intelligence/Data Warehouse overall design
  • 7+ years logical and physical data modelling (dimensional and 3NF)
  • 10+ years of strong design & hands-on experience with DBMS
  • 5+ years data requirements gathering
  • 10+ years data profiling
  • Experience with cloud technologies (AWS, Azure)
  • Metadata repository experience
  • Master data management experience
  • Experience with ETL technologies and processes
  • Experience within the Telecommunication industry is an asset
  • Knowledge of industry data management best practices and trends
  • Strong documentation skills using different tools including the MS Office tool suite
  • Strong analytical and problem-solving skills
  • Highly motivated and proactive individual, dedicated to follow-up/follow through without reliance on management for direction
Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 333 Bloor Street East (908), Toronto, ON 
Travel Requirements: Up to 10%
Posting Category/Function: Technology & Information Technology
Requisition ID: 219389
Together, we'll make more possible, and these six shared values guide and define our work:
  1. Our people are at the heart of our success
  2. Our customers come first. They inspire everything we do
  3. We do what’s right, each and every day
  4. We believe in the power of new ideas
  5. We work as one team, with one vision
  6. We give back to our communities and protect our environment

What makes us different makes us stronger. Rogers has a strong commitment to diversity and inclusion. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential. At Rogers, we value the insights and innovation that diverse teams bring to work. We work with our candidates with disabilities throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Rogers FAQ.

Posting Notes:  Information Technology & Engineering 

Job Segment: Database, Telecom, Telecommunications, Engineer, Data Management, Technology, Engineering, Data

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