What are the responsibilities and job description for the Senior Software Engineer II, Ads Data Solutions Engineering position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer II, Ads Data Solutions Engineering in Canada.
This role sits at the core of a high-impact Ads Data Solutions team responsible for building scalable systems that power off-platform advertising, secure data collaboration, taxonomy management, and next-generation measurement capabilities. You will operate as a senior technical leader, designing and evolving distributed data platforms that enable privacy-safe, high-performance advertising intelligence at scale. Working across engineering, product, data science, and governance teams, you will help shape the architecture behind cleanrooms, identity and attribution systems, and AI-enabled advertising workflows. The environment is fast-moving, highly collaborative, and deeply focused on solving complex data and infrastructure challenges. This is a hands-on role where you will influence technical direction, mentor engineers, and contribute directly to platform modernization. You will also help define how AI is integrated into engineering workflows to accelerate delivery and innovation.
\n- Lead the design and evolution of scalable backend and data systems supporting off-platform advertising, cleanrooms, taxonomy automation, and measurement pipelines.
- Build and enhance data collaboration capabilities, including secure cleanroom orchestration, policy enforcement, and privacy-safe data sharing across partners.
- Develop and optimize large-scale data pipelines for ingestion, transformation, and analytics using modern data engineering frameworks and cloud infrastructure.
- Architect and maintain integrations with external advertising platforms, enabling identity resolution, attribution, and performance measurement at scale.
- Drive modernization of platform infrastructure, improving CI/CD, observability, reliability, cost efficiency, and system performance.
- Lead technical initiatives across teams, aligning stakeholders and defining reusable abstractions, standards, and engineering best practices.
- Mentor and support engineers, contributing to code reviews, design discussions, and overall engineering excellence.
- Champion AI-first engineering practices by integrating AI-assisted tools into design, development, testing, and documentation workflows.
Requirements:
- 8 years of software engineering experience, with a strong focus on backend systems, data platforms, or large-scale distributed systems.
- Strong proficiency in Python and experience with an additional backend language such as Go or Ruby.
- Extensive experience building APIs and service-oriented architectures using REST or gRPC.
- Hands-on expertise with data engineering tools such as DBT, Airflow, Spark, Databricks, and advanced SQL optimization.
- Experience working with cloud data platforms such as Snowflake and AWS in production environments.
- Strong understanding of ad-tech ecosystems, including measurement, attribution, identity resolution, and cleanroom technologies.
- Familiarity with privacy and compliance frameworks such as GDPR and CCPA in data-driven systems.
- Experience with CI/CD, observability tools (e.g., Datadog), containerized systems, and production reliability practices including SLOs.
- Demonstrated ability to lead cross-team initiatives, influence technical direction, and communicate effectively with technical and non-technical stakeholders.
- Proven hands-on use of AI-assisted development tools and ability to apply AI effectively in engineering workflows.
Benefits:
- Competitive base salary with equity grant eligibility and annual refresh awards
- Comprehensive health coverage including medical, dental, and vision insurance
- Flexible remote-first work model with optional in-person collaboration opportunities
- Paid time off, holidays, and flexible vacation policies
- Wellness, technology, and lifestyle stipends depending on location
- Employee-focused culture emphasizing inclusion, collaboration, and innovation
- Opportunities to work on high-impact systems shaping next-generation advertising technology
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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