Responsibilities
Lead architecture for reusable, scalable systems supporting off-platform advertising, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.
Build and operate backend services, third-party advertising integrations, identity workflows, measurement ingestion pipelines, and data-intensive systems.
Extend cleanroom orchestration and governance tooling, including multi-cleanroom support, policy enforcement, query templates, partner configurations, and secure deployment management.
Lead Ads Taxonomy intake automation and release workflow improvements across UI and backend systems.
Drive platform modernization, developer tooling improvements, testing, CI/CD, observability, cost efficiency, and operational readiness.
Use AI-assisted tools for design, coding, testing, and documentation; define reusable team prompts and AI-enabled internal tooling opportunities.
Champion security-by-design, data governance, privacy compliance, SLAs, and SLOs across pipelines.
Mentor engineers up to L5, establish engineering standards, lead cross-team execution, and manage stakeholder dependencies.
Requirements
8+ years of software engineering experience delivering and operating large-scale backend or data systems, with cross-team project and architecture leadership.
Strong Python skills and proficiency in at least one of Ruby or Go.
Experience building services and APIs, including REST or gRPC services and third-party API integrations.
Experience with DBT, Airflow, Spark or Databricks, advanced SQL, Snowflake, AWS, workflow orchestration, and event-driven systems.
Experience with ad-tech or programmatic advertising, measurement integrations, cleanrooms, identity and matching systems such as UID2 or RampID, and deconfliction.
Working knowledge of GDPR and CCPA privacy and compliance practices in data workflows.
Experience with CI/CD, containers, testing strategy, observability, incident readiness, and SLOs.
Recent hands-on use of AI-assisted development tools such as GitHub Copilot, Cursor, or OpenAI-based assistants, including prompt and workflow design.
Ability to communicate clearly, write technical documentation, manage stakeholders, drive consensus, and unblock execution.
Preferred experience includes UID2 or TTD integrations, Roku, PubMatic, NBCUniversal, Meta Advanced Analytics, Google ADH, catalog or taxonomy systems, entity lineage, Snowflake governance, partner data collaboration, vendor management, API certification programs, and AI-powered internal tools.
Benefits
Flex First remote work arrangement with the option to work from home, an office, or another preferred location.
Occasional trips to the Toronto office for connection with the broader engineering community.
Competitive location-dependent compensation and benefits, including a new-hire equity grant and annual refresh grants.
