Staff Software Engineer, Data Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Data Platform based in United States. This role provides senior technical leadership across a modern data and AI platform, shaping the architecture, development, and operation of foundational data infrastructure. You will tackle company-wide technical challenges and influence how data and AI capabilities support business decision-making at scale. Working across multiple teams, you will combine hands-on engineering with architectural direction, technical strategy, and long-term platform planning. The role spans areas such as data pipelines, ETL frameworks, metrics platforms, infrastructure, data security, orchestration, and large-scale processing. You will also mentor engineers and help establish a culture of technical excellence, innovation, and strong engineering practices. This is a high-impact opportunity within a fast-moving environment focused on building scalable, reliable, and increasingly AI-ready data infrastructure. Accountabilities: - Provide technical leadership for the strategy, architecture, development, deployment, and operation of large-scale data and AI platforms. - Identify and solve complex, organization-wide technical challenges through scalable and reliable data platform solutions. - Establish architectural direction and technical standards while remaining hands-on in solving complex engineering and platform problems. - Lead initiatives that span multiple teams, influence technology roadmaps, and translate technical strategy into measurable business outcomes. - Drive best practices across data engineering and platform development, fostering a culture of craftsmanship, innovation, reliability, and continuous improvement. - Provide technical leadership across ETL frameworks, metrics stores, infrastructure management, data security, and scalable data processing systems.

- Design, build, deploy, and maintain reliable multi-geographical data pipelines capable of operating at significant scale. - Contribute to modern Lakehouse architecture patterns and the development of reusable platform components, high-performance services, and client libraries for big data workloads. - Evaluate emerging technologies, conduct proofs of concept, and use research and technical analysis to guide architecture and technology decisions. - Mentor engineers, scientists, and technical peers while supporting their professional development and strengthening the capabilities of the broader data platform organization. - Collaborate effectively with engineering teams, technical stakeholders, leadership, and platform users to align technical priorities with business needs. - Help evolve the broader data ecosystem toward infrastructure capable of supporting real-time analytics, AI/ML workloads, and agent-ready data experiences. Requirements: - Bring at least 8 years of experience in Data Platform engineering or an equivalent combination of professional and academic experience in a quantitative field. - Demonstrate experience leading company-wide technical initiatives across multiple teams and influencing technology roadmap planning. - Have a strong track record of collaborating with diverse technical and business stakeholders to deliver tangible outcomes. - Demonstrate the ability to balance execution speed and operational delivery with deep technical research, statistical understanding, and scalable system design. - Bring significant experience providing technical leadership on complex projects involving ETL frameworks, metrics stores, infrastructure, data security, and large-scale data processing. - Have proven experience building, deploying, and maintaining reliable data pipelines across multiple geographic environments and at scale. - Possess familiarity with workflow and orchestration technologies such as Airflow and dbt.