StaffDataEngineer

About Jellyfish Jellyfish is rewriting the manual on how high-performing engineering teams actually work within an AI world. We're seeking a Staff Data Engineer who's passionate about building and scaling robust data infrastructure, defining integration patterns, and driving technical strategy across large-scale systems. Ideally, you combine deep hands-on expertise with the ability to influence architecture and direction across teams. This is a high-agency role where you'll help shape not just what gets built, but how we build it — and raise the bar for the engineers around you.     What You'll Do - Define the architecture and long-term technical direction, design and implementation of our data pipelines and integrations platform for storage, transformation and export at scale. - Drive integrations with third-party tools and establish the standards that make future integrations faster and more reliable - Own our infrastructure as code strategy using Terraform, and contribute to how we evolve our cloud data infrastructure - Architect workflow orchestration systems for near-real-time and batch data processing, with a focus on reliability and scalability - Lead the design and implementation of data export pipelines that serve diverse customer needs - Spearhead development of internal tooling and agentic workflows that meaningfully accelerate engineering velocity across the org - Serve as a technical anchor — leading design reviews, mentoring engineers, and elevating how the team approaches complex problems - Partner with engineering leadership on roadmap prioritization, cross-team dependencies, and org-wide technical strategy - Communicate clearly about technical decisions, tradeoffs, and project status to both engineers and non-technical stakeholders     About You - You have deep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end — not just contributing to it - AI - driven developer who dives deep into AI