Staff Software Engineer, Data Platform

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. Demonstrate hands-on experience designing modern Lakehouse data processing patterns. Bring experience with big data and cloud technologies such as GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow; experience across the full set is not required. Demonstrate strong written and verbal communication skills and the ability to explain complex technical concepts to engineers, leadership, users, and other diverse audiences. Be capable of rapidly evaluating technologies, conducting proofs of concept, and using findings to inform architecture and platform decisions. Demonstrate a strong mentoring mindset with experience investing in the technical and professional development of engineers, scientists, and peers. Be comfortable operating in complex, fast-paced environments where priorities and technical challenges may span multiple teams and domains. Benefits: Full-time employment opportunity. Hybrid work arrangement based in Seattle, Washington; the source role is specifically based in Seattle. Base compensation range of $200,000–$260,000, depending on relevant experience, skills, qualifications, geographic considerations, internal equity, and market factors. Equity participation. Eligibility for bonus compensation. U.S.-based employees are eligible for medical, dental, and vision insurance. 401(k) plan. Short-term and long-term disability coverage. Basic life insurance. Well-being benefits. 20 paid vacation days per calendar year for U.S.-based employees. 12 paid company holidays per calendar year for U.S.-based employees. Additional compensation or benefits may apply depending on role, employment terms, and applicable requirements.