Senior Data Analytics Cloud Engineer, Agentic AI

Socket.dev; New York (NY); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud is seeking a Practice Customer Engineer specializing in Agentic Data Cloud to partner with Sales Specialists and differentiate Google Cloud data platforms for enterprise-grade workflows.

You will be the technical authority accelerating wins, removing blockers, and driving adoption of mission-critical data/AI workloads, designing unified data foundations and producing production-grade prototypes and MVPs.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
• Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.
• Experience presenting to technical stakeholders and executive leaders on cataloging, access controls, and lineage for AI and agentic applications.
• Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
• Developing data warehousing, data lakes, batch/real-time processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
• Architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
• Cloud computing (infrastructure, storage, platforms, data) and cloud market dynamics.

Responsibilities

• Drive the technical win for complex workloads within Data Analytics to ensure rapid and successful adoption.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions.
• Deliver critical feedback from customer engagements to Product and Engineering teams to improve architectures and solutions.
• Help Enterprise customers leverage unified data foundations to power real-time, AI-driven experiences, with scalable, secure architectures.

Skills

Big Data technologies

Cloud native architecture

Python

SQL

Data governance

ETL/ELT

Data migrations

Data processing

Data warehousing

Demo/prototype with customers

Education

Bachelor's degree or equivalent

Tools

Python

Spark

Job description

Google Cloud is seeking a Practice Customer Engineer specializing in Agentic Data Cloud to partner with Sales Specialists and differentiate Google Cloud data platforms for enterprise-grade workflows.

You will be the technical authority accelerating wins, removing blockers, and driving adoption of mission-critical data/AI workloads, designing unified data foundations and producing production-grade prototypes and MVPs.