MarTech AdTech Solution Architect

Capgemini • Mississauga, ON

1d • CA$119,392 - CA$174,088 • Hybrid

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. We are looking for a MarTech AdTech 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.

Requirements

• 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
• 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

Nice To Haves

• preferably Capgemini Architects certification level 2 or above, relevant solution certifications, IAF and/or industry certifications such as TOGAF 9 or equivalent.

Responsibilities

• 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
• 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
• 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
• 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

Benefits

• Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed