Senior Software Engineer II, Data Platform

Fetch•Remote,

11h•$175,591 - $206,578

About The Position

Platform engineering at Fetch is grounded in service to developers, strong ownership, and purposeful innovation. Rather than building end-user features, platform engineers focus on the foundations that other teams rely on, spanning core systems, architecture, automation, and developer workflows. This work lives in complex problem spaces where the right answer is rarely obvious. Our engineers navigate ambiguity with data and sound judgment, understand tradeoffs, and partner closely across product and engineering to solve problems that scale. We maintain a high technical bar and value practicality, curiosity, and continuous improvement. This is an environment for builders who enjoy shaping durable platforms, improving developer experience at scale, and enabling teams across Fetch to ship with confidence. Fetch is entering its AI-first era, and we're looking for a Senior Software Engineer (P4) to join our Data Platform team. You'll help architect and evolve the systems that power how Fetch's data products are built, delivered, and made accessible - spanning areas like data pipelines, governed data access, delivery infrastructure, and partner-facing integrations. You'll operate at the problem level: identifying ambiguous, high-impact issues in your problem space and driving the technical solutions that resolve them. You'll be expected to bring strong technical ownership, proactively raise the bar on quality and reliability, and lead through influence across engineering and cross-functional stakeholders.

Requirements

8+ years of professional software engineering experience, with a track record of increasing technical scope and ownership.
Strong platform or backend engineering background, with experience building reliable, scalable systems; experience with data pipelines, integrations, or delivery infrastructure is a plus.
Demonstrated ability to independently identify and scope ambiguous technical problems, then define and execute the work to solve them.
Experience owning systems or components used by multiple teams or consumers, with attention to reliability and predictable operation.
Track record of improving code quality, system health, or engineering practices within a team, often self-initiated.
Experience contributing to or leading cross-team technical initiatives, including migrations or phased rollouts.
Solid understanding of data infrastructure fundamentals — pipelines, governed data access, and delivery at scale.
Strong code review instincts and judgment on rollout safety, monitoring, and operational risk.
Mentorship experience with peer or junior engineers.
Fluency in modern software ecosystems such as Kubernetes, event streaming, CI/CD, observability tooling, and AI-assisted development workflows.
Ability to communicate technical trade-offs clearly, and to build alignment with stakeholders without relying on formal authority.
Comfortable operating in ambiguous, evolving environments with a focus on measurable outcomes.

Nice To Haves

Experience with data delivery, connectors, clean rooms, DSP integrations, or similar partner-facing data infrastructure.
Familiarity with data governance and compliance-aware system design.
Experience modernizing legacy systems or migrating to newer architectures.
Exposure to AdTech, MarTech, or data-monetization ecosystems.
Track record of improving reliability, latency, or developer velocity on a data- or integration-heavy platform.
Experience giving upward feedback or informally mentoring across levels, even without formal management experience.

Responsibilities

Proactively identify and solve ambiguous, complex problems within your team's problem space. Define the projects needed to address systemic issues rather than waiting to be assigned them.
Set and raise the technical quality bar for your team. Initiate refactoring or system health work without being told to. Solve problems few others can, improving reliability and efficiency through code review, thoughtful rollout practices, and proactive stability improvements.
Operate at the problem level - defining and driving solutions for high-ambiguity issues that span multiple projects or systems. Lead major initiatives or migrations that require coordination across teams or functions, ensuring complex or phased rollouts execute smoothly.
Identify new tools, processes, or platform capabilities that meaningfully improve your team's velocity and reduce operational overhead.
Help define the direction and goals for your team, balancing project impact, product quality, and engineering efficiency. Guide decision-making through well-reasoned trade-offs, and communicate technical strategy clearly to both technical and non-technical stakeholders.
Collaborate closely with Product, TPM, and partner engineering teams. Help clarify trade-offs and decision ownership when views diverge, and work toward resolution before disagreements become blockers.
Coach peers and junior engineers, invest in their growth, and provide upward feedback to managers constructively. Model accountability, transparency, and strong engineering judgment, especially under pressure.