Staff Engineer, Spark Structured Streaming

Triwill Group; Seattle (WA); On-site; USD 182,000 - 247,000; Full time

Benefits offered by this job

Benefits overview

Job summary

Databricks is seeking an experienced Staff Engineer to set the technical direction for Spark Structured Streaming, spanning open source and Databricks-specific components. You will drive state management, new operators, and architecture to improve latency, throughput, and cost.

You’ll mentor engineers, collaborate with product management, and shape multi-year technical plans while delivering features with operational excellence across the Databricks platform.

Qualifications

• BS (or higher) in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years building related systems — big-data ecosystems, Apache Spark, or database internals.
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization.
• Comfortable working toward a multi-year vision with incremental deliverables.
• A track record of delivering features while maintaining a high bar for operational excellence and engineering quality.
• Comfortable working cross-functionally with product management and directly with customers, with the ability to deeply understand the product and customer personas.

Responsibilities

• Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform.
• Design and build core engine capabilities — state management, new operators, and architectural improvements to latency and throughput.
• Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production.
• Make company-wide impact by driving stream processing adoption across the Databricks product portfolio.
• Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap.
• Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent.

Education

BS in Computer Science or related field

Job description

Databricks is seeking an experienced Staff Engineer to set the technical direction for Spark Structured Streaming, spanning open source and Databricks-specific components. You will drive state management, new operators, and architecture to improve latency, throughput, and cost.

You’ll mentor engineers, collaborate with product management, and shape multi-year technical plans while delivering features with operational excellence across the Databricks platform.