We are looking for a Senior MarTech Technical/Solution Architect to work hybrid not remote to lead architecture design and technical delivery on a large-scale retail media and data transformation program. You will own the end-to-end technical architecture across ad serving, identity resolution, measurement, analytics, and cloud data platforms, serving as the single technical authority on the engagement. You will work directly with client stakeholders and govern an offshore delivery team, making architecture decisions across modern ad tech platforms, cloud-native data infrastructure, and attribution and measurement systems in a fast-moving agile environment.

Architecture & Technical Leadership

– Own end-to-end solution architecture across ad serving, data pipelines, identity, measurement, and reporting

– Lead technical discovery — translating business requirements into architecture decisions and integration specifications

– Define API contracts, data schemas, and integration standards across all engineering workstreams

– Govern offshore teams — architecture reviews, sprint ceremonies, vendor technical coordination

– Produce and maintain Architecture Decision Records, solution design documents, and data flow diagrams throughout delivery Ad Technology Platforms

– Architect API-first retail media ad servers — auction logic, ad unit configuration, product catalogue feed pipelines, and DSP demand connections

– Design onsite ad serving infrastructure for sponsored products, Product Listing Ads, display, video, and native formats

– Lead ad platform migration architecture — parallel running strategies, tag migration approaches, and zero-downtime cutover plans

– Configure programmatic demand integrations — The Trade Desk, DV360, StackAdapt — preserving programmatic revenue at cutover

– Define order management, campaign trafficking, and self-serve advertiser portal workflows on the target platform Measurement, Attribution & Analytics Architecture

– Design closed-loop attribution frameworks connecting ad exposures to purchase transactions across loyalty and transactional data sources

– Architect incrementality testing and A/B experimentation infrastructure — test design, holdout group management, and statistical validation

– Define CPG-facing reporting data models — ROAS, new-to-brand, share of voice, sales lift — built natively on the data warehouse layer

– Design clean room collaboration architecture for privacy-safe CPG measurement — matching brand data against retailer audiences without PII exposure

– Architect multi-touch attribution models and define impression-to-conversion event pipelines from ad servers into the analytics layer

– Define self-serve analytics and insight delivery patterns for CPG brand partners Data, Cloud & Identity Architecture

– Architect cloud-native data platforms on GCP and/or AWS — ingestion, transformation, event streaming, and cross-platform data sharing

– Design Snowflake environments — data modelling, zero-copy integrations with Salesforce Marketing Cloud and Data Cloud (CDP), and Snowflake Native Apps

– Architect identity resolution pipelines — synonymous ID production, local encoder configuration on GCP or Snowflake, and downstream activation flows

– Design first-party audience pipelines from loyalty and transactional data sources into ad targeting and measurement systems

– Define data governance frameworks — PII handling, consent management, data classification,



lineage, and observability standards Required Experience*

– 10+ years in solution or technical architecture, with 3+ years in retail media, digital advertising, or MarTech

– GCP and/or AWS — compute, storage, event streaming, and managed data services

– Snowflake experience — data modelling, zero-copy integration patterns, Native Apps, and Data Sharing

– Salesforce Marketing Cloud and/or Salesforce Data Cloud (CDP) with cloud data warehouse environments

– ad servers, DSPs, SSPs, header bidding, programmatic deal types (PMP, PG), and ad tag management

– clean room collaboration frameworks (Habu, AWS Clean Rooms, Snowflake Data Clean Room)

– API-first retail media ad servers such as Kevel, Criteo, or equivalent

– LiveRamp Identity Engine, RampID production, and Connect/Habu clean room configuration

– Google Ad Manager migration or replacement — tag migration, programmatic deal migration, and display/video ad serving

– Environics Analytics or equivalent

– Collibra, Alation, or equivalent — and BI tool integration with Tableau, Looker, or Power BI Technical Skills

– Cloud: GCP (BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Run), AWS (S3, Lambda, Kinesis, Redshift)

– Data: Snowflake, dbt, Apache Spark, Airflow, Kafka / Pub/Sub event streaming

– Ad Tech: API-first ad servers, header bidding, DSP/SSP integrations, programmatic deals, ad tag management

– Measurement: Clean rooms (Habu, Snowflake, AWS), incrementality testing frameworks, attribution modelling

– Identity: LiveRamp, RampID production, local encoder, audience syndication pipelines

– Integration: REST APIs, GraphQL, webhooks, Salesforce Marketing Cloud API, Salesforce Data Cloud, ETL/ELT pipelines The base compensation range for this role in the posted location is $119,392 to $174,088. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.

This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

In the U.S. and Canada,



available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insurance

Employee assistance programs

Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment.

All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed.

Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-chance-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries.

With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

📌 MarTech Technical Architect (Toronto)
🏢 Capgemini
📍 Toronto