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.

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