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Added 37 mins ago
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Added 6 hours ago
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Martech AdTech Technical Architect
Capgemini
Toronto, ON · Greater Toronto Area, Canada
- Full-time
architecture across ad serving, identity resolution, measurement, analytics, and cloud data
Added 6 hours ago
GC
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Capgemini

Martech AdTech Technical Architect

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

The base compensation range for this role in the posted location is $170,0386 to $179,027. · Full-time

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Job details

Pay: The base compensation range for this role in the posted location is $170,0386 to $179,027.
Job type: Full-time
Apply by: Nov 3, 2026
Posting language: English
Posted: Oct 4, 2026

Original job description

We are looking for a Senior Martech AdTech 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 collaborate

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 $170,0386 to $179,027.

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-opportunity-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.

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More about this job

Responsibilities

Own end-to-end architecture and technical delivery for a large retail media and data transformation program, spanning ad serving, identity, measurement, analytics, and cloud data platforms. Lead technical discovery and integration standards, govern offshore delivery, and design ad technology, attribution, clean-room, and data solutions.

Requirements

Requires 10+ years in solution or technical architecture, including at least 3 years in retail media, digital advertising, or marketing technology. Relevant experience includes GCP or AWS, Snowflake, Salesforce marketing and data platforms, ad servers and programmatic integrations, identity resolution, clean rooms, measurement, and data governance.

Skills

Solution Architecture
Retail Media Ad Technology
Google Cloud Platform
Amazon Web Services
Snowflake
Salesforce Marketing Cloud
Salesforce Data Cloud
Ad Servers
Programmatic Advertising
Identity Resolution
LiveRamp
Clean Rooms
Attribution Modeling
Incrementality Testing
API Integration
Data Governance

Benefits

Paid Vacation
Company-Paid Holidays
Personal Days
Sick Leave
Medical Insurance
Dental Insurance
Vision Coverage
Retirement Savings Plan
Life Insurance
Disability Insurance
Employee Assistance Program

Visa sponsorship

Not detected in the job text

Keywords

Retail Media
Martech
AdTech
Solution Architecture
Google Cloud Platform
Amazon Web Services
BigQuery
Cloud Storage
Pub/Sub
Dataflow
Cloud Run
Snowflake
dbt
Apache Spark
Airflow
Kafka
Salesforce Marketing Cloud
Salesforce Data Cloud
LiveRamp
RampID
Kevel
Criteo
Google Ad Manager
The Trade Desk
DV360
StackAdapt
Habu
AWS Clean Rooms
REST APIs
Attribution Modeling

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