13 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Build and ship production data and machine learning workloads with customers using PySpark, SQL, and Python on BigQuery, Managed Spark, Spanner, and AlloyDB.
- Stand up working proofs using customer data, including de-identifying sensitive PCI and PHI data.
- Build lakehouse architectures, metadata and semantic context, and access controls for agentic solutions.
- Train, evaluate, and deploy machine learning and agentic components with evaluation and monitoring.
- Refactor and migrate analytics, Spark, and operational database workloads to Google Cloud engines while measuring price-performance outcomes.
- Embed with customer accounts, provide white-glove deployment, and relay field insights into Google Cloud’s product roadmap.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Eight years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting.
- Experience writing production code in Python and SQL.
- Experience with data cloud ecosystem products, technologies, or languages such as Apache Spark, PySpark, BigQuery, Spanner, Catalog, and AlloyDB.
- Experience taking production-grade data cloud solutions from conception to launch, architecting cloud data systems, and building structured and unstructured pipelines.
- Experience training, evaluating, and deploying machine learning models in production.
- Preferred experience building LLM applications with Gemini, RAG, and vector search, and using multi-agent frameworks such as LangGraph, CrewAI, and ADK.
- Preferred experience with GCP data products or equivalents such as Databricks and Snowflake, and open table formats such as Iceberg and Delta Lake.
- Preferred experience migrating analytics, Spark, or database workloads between platforms with measured cost and performance outcomes.
- Preferred skills include prompt engineering, model evaluation, LLM-native metrics, state management, and granular tracing.
Benefits
- Equity and benefits are provided.
- The role is part of Google Cloud’s collaborative Go-To-Market team with access to Google’s AI portfolio and DeepMind engineering and research expertise.
Tech Stack
Categories
Forward Deployed
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.