2 days ago
Base Salary
$207k - $300k/yr
Responsibilities
- Design, lead, build, and launch global cloud lakehouse solutions, including schema-on-read pipelines, in-line streaming enrichment, and search indexing architectures.
- Improve data storage tiers, indexing mechanisms, and enrichment capabilities across BigQuery and open-table lakehouse services processing exabytes of security telemetry.
- Implement simpler and horizontally scalable architectures supporting SQL analytics, anomaly detection, and AI-driven security workloads.
- Use expertise in SIEM, security data lakes, or large-scale distributed data products to solve customer problems and deliver high-impact projects.
- Manage project priorities and collaborative workstreams, identify risks, communicate schedule adjustments, and meet deliverables.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience designing, leading, and scaling large-scale software architectures, distributed systems, or high-throughput data processing platforms.
- 5 years of experience testing and launching software products, including 3 years of experience with software design and architecture.
- Experience working with AI platforms or generative AI technologies, including generative AI agents.
- Preferred: Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Preferred: 3 years of experience in a complex, matrixed organization involving cross-functional or cross-business projects.
- Preferred: experience building large-scale distributed systems processing data at scale.
- Preferred: experience in Enterprise Security, specifically building SIEM products.
Benefits
- US base salary of $207000 - $300000, plus a 20% bonus target, equity, and benefits.
- Google benefits are provided.
- The role supports globally deployed solutions and collaboration with engineering, product, and users.
Tech Stack
Categories
Data Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.