Staff software engineer data

This position is listed on behalf of a partner company that manages all applications and next steps. Our partner is looking for a Staff Software Engineer Data based in Italy. This is a high‑impact engineering role focused on the foundations of a large‑scale multi‑chain data platform.

Accountabilities

• Translate product requirements into robust technical solutions by modeling domains, defining interfaces and workflows, and making thoughtful architectural trade‑offs.
• Break complex initiatives into well‑defined pieces of work that can be owned by multiple engineers, sequencing delivery to bring useful functionality to production early.
• Drive high‑impact architectural decisions across the data platform and take end‑to‑end ownership of critical components from design through production operation.
• Design and build systems capable of handling real‑world scale, including large‑scale data ingestion, distributed processing and data‑lake storage, while maintaining strong standards for correctness and performance.
• Work across the engineering stack primarily using Go, Kotlin, Rust and Python, selecting technologies based on the problem.
• Apply strong computer‑science fundamentals to distributed data systems, explicitly considering contracts, state transitions, invariants, failure modes, fault models and scaling limitations.
• Raise engineering standards through design reviews, effective testing practices, thoughtful decomposition of technical work and clear engineering processes.
• Collaborate closely with product teams, customers and engineers to clarify ambiguous requirements, define scope and guide technical decisions.
• Mentor engineers through hands‑on leadership, strengthening technical judgment, system design and execution practices across a fully distributed team.
• Use AI‑assisted engineering tools thoughtfully to improve productivity while maintaining high standards for code quality, reasoning, correctness and maintainability.
• Contribute to continuous improvement of the data foundation, identifying opportunities to improve scalability, reliability, developer experience and platform architecture.

Requirements

• Strong software‑engineering background with solid computer‑science fundamentals and ability to adapt quickly to unfamiliar technologies.
• Demonstrated experience designing and shipping distributed data systems, with practical understanding of architecture, contracts, state management, invariants, failure modes, fault tolerance and scaling.
• First‑principles problem‑solving approach, able to make assumptions explicit, identify constraints and derive solutions.
• Experience with large‑scale systems where correctness, performance, reliability and operational behavior are critical.
• Ability to work effectively with ambiguity, engaging product, customers and engineering stakeholders.
• Strong ability to translate complex product requirements into technical designs, implementation plans and actionable tasks.
• Experience working across multiple programming languages (Go, Kotlin, Rust, Python) and selecting the most appropriate tool for a given problem.
• Excellent written and verbal communication skills, especially in distributed and asynchronous environments.
• Proven ability to influence engineering standards, conduct effective design reviews, improve development practices and mentor other engineers.
• Practical experience with AI‑assisted development tools and a high bar for avoiding low‑quality AI‑generated output.
• Ability to operate independently, prioritize effectively and maintain ownership in a remote‑first environment.
• Experience with data lakes and modern storage formats such as Parquet, Apache Iceberg or Delta Lake is a plus.
• Experience at a company where data is a core part of the product is a plus.

Benefits

• Competitive salary and equity package positioned within the top 25% of comparable companies.
• Employee equity program with favorable terms.
• 5 weeks of paid time off plus public holidays, with flexible swapping.
• Fully remote‑first working model with flexible hours.
• Private medical insurance including dental and vision coverage.
• Fully paid parental leave (16 weeks primary, 6 weeks secondary) with phased return.
• Quarterly company offsites in international locations.
• Annual travel allowance and home‑office setup allowance, including coworking space coverage.
• Opportunity to work with highly experienced engineers on challenging data infrastructure and blockchain analytics problems.