Data Manager Architect

Job Description:

Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients meet their quantifiable business goals every day, consistently, in every market. We are entirely focused on delivering better business results through optimization, creation and analysis across all digital platforms. Our scope ranges from recommending how to use content more effectively to optimizing daily media channel performance and maximizing visibility in eCommerce platforms. 

The Data Manager Architect is accountable for the end-to-end architecture, technical direction, governance framework, delivery execution, and production readiness of the enterprise data solution. This is a highly hands-on technical leadership role that requires deep expertise in data engineering, analytics, and business intelligence platforms. The successful candidate will actively design, build, troubleshoot, and optimize solutions while providing technical leadership to the broader team.

Accountabilities 

• Define and implement the target source-to-reporting architecture. 

• Establish raw, staging, transformation, correction, mapping, and reporting layers. 

• Lead complex Azure Data Factory, Azure SQL, Power BI, Logic App and Python development. 

• Establish dynamic source-file selection and remove hardcoded file dependencies. 

• Define processed-file history, ingestion timestamps, run controls, and audit requirements. 

• Establish governance for mapping tables, corrections, exceptions, and business-rule changes. 

• Lead complex troubleshooting and root-cause analysis. 

• Define acceptance criteria, technical standards, testing requirements, and operational service levels. 

• Coordinate decisions across Media Operations, Media Effectiveness, Planning, Broadcast, and supporting teams. 

• Provide technical oversight, code review, and coaching junior team members. 

• Own production transition, stakeholder acceptance, and the future automation roadmap. 

Qualifications 

• 5+ years in data engineering, analytics engineering, BI architecture, or related roles 

• Advanced SQL, Azure Data Factory, Azure SQL, Power BI, DAX, Python, Databricks 

• Experience delivering production data platforms under compressed timelines 

• Strong data modelling, governance, reconciliation, lineage, and operational-control experience 

• Strong executive communication and stakeholder-management capabilities 

Additional information

Vacancy: Is this posting for the purposes of filling an existing vacancy [Y/N]

The salary range for this position is $90k-105k. Actual salary within the salary range will be based on a variety of factors including relevant experience, knowledge, and skills. A range of medical, dental, RRSP, paid time off, and/or other benefits also are available to all permanent employees.

AI Disclosure: [dentsu] utilizes artificial intelligence tools as part of its recruitment process, as during the sourcing and screening stages. All other parts of the dentsu application and hiring processes do not utilize artificial intelligence tools.

We know through experience that different ideas, perspectives and backgrounds foster a stronger and more creative work environment that delivers better business results. We strive to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact Canada.Recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process.

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