Forward Deployed Engineering Manager II, Data Cloud, Google Cloud

Google Cloud’s Data Cloud team builds the data platform behind Google’s agentic AI offerings: BigQuery, Managed Spark, borderless Lakehouse, Spanner, AlloyDB and Knowledge Catalog, integrated with Gemini Enterprise. As a Forward Deployed Engineering Manager, you will lead a Forward Deployed Engineering (FDE) team for Google Cloud’s Data Cloud. Your team will bridge the gap between frontier data solutions and production-grade reality for customers. They will take customers data and machine learning workloads from prototype to production on BigQuery, Managed Spark, borderless Lakehouse, Spanner, AlloyDB and Knowledge Catalog. You are a technical leader first: credible with Chief Technology Officers (CTOs) and data platform leaders, able to review your team’s designs and code, and a strong judge of engineering talent. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale.

What you'll do:

• Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
• Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts to key accounts.
• Lead technical hiring for FDE, evaluating data engineering expertise, systems engineering, and coding skills to build an exceptional engineering team.
• Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models, building agents), ensuring the team maintains subject matter expertise in an evolving data stack.
• Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in cloud computing, technical sales engineering, or software engineering with cloud-native architectures. 2 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment. Experience reviewing designs and code in Python, PySpark and SQL. Experience designing platforms built on Data Cloud services (e.g., BigQuery, Managed Spark / Lightning Engine, Apache Iceberg (Borderless Lakehouse), Spanner, AlloyDB, Pub/Sub, Dataflow, Kafka). Experience building agentic AI systems on enterprise data (agents, retrieval, vector search, evaluation).

Full details and application on the official Google careers page.