Data Analytics Customer Engineer, Google Cloud (English)
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis · Software Engineering
In short
As a Data Analytics Customer Engineer for Google Cloud, you will be the primary technical expert, partnering with sales to execute the pre-sales strategy and acting as a trusted advisor to customers. You will design, code, and deploy production-grade Data + AI pipelines to solve enterprise problems, leveraging your expertise in modern data architectures and value-selling principles.
Responsibilities
- Define technical strategy for large accounts, engaging C-level executives via live demonstrations to solve business problems using the Agentic Data Cloud.
- Design, code, and deploy production-grade Data + AI pipelines (e.g., fraud detection, recommendation engines) and map legacy data estates to open-format architectures (Apache Iceberg).
- Orchestrate Intent-Driven data engineering to autonomously deploy PySpark pipelines using the Data Agent Kit, Antigravity, and Model Context Protocol.
- Lead high-impact showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI to prove business outcomes.
- Conduct detailed Total Cost of Ownership (TCO) analyses and optimize architectures (such as balancing DRAM/SSD, compute shapes, and token spend) to prevent runaway costs on the Lightning Engine.
Requirements
- Bachelor's degree or equivalent practical experience.
- 6 years of experience as a data or systems engineer, solutions architect, or pre-sales consultant.
- Experience delivering demos, workshops, or architect overviews to business leaders.
- Experience migrating, refactoring, or debugging proprietary or open source workloads.
- Experience building data platforms, warehouses, or data lakes, and experience with data programming languages and leveraging agentic platforms.
- Ability to communicate in English fluently to manage stakeholder relationships.
Desired Qualifications
- Experience designing and deploying enterprise Retrieval-Augmented Generation (RAG) pipelines, Large Language Model (LLM) application integrations, or context orchestration frameworks.
- Experience implementing enterprise data/AI governance, metadata management, access control, or lineage tracking across modern catalogs.
- Experience with developer advocacy, building internal technical programs, delivering technical enablement, or contributing to open-source data/AI communities.
- Experience in core data science workflows, including proficiency with data manipulation libraries and integrating data pipelines with ML platforms.
- Experience applying value-selling principles to align technical architectures with business outcomes.
Benefits
- Access to Google's cutting-edge technology and tools.
- Opportunity to work with enterprise-grade solutions.
- Support for digital transformation initiatives.
Skills
PythonPySparkApache IcebergBigQuerySparkVertex AI
#data analytics#customer engineer#google cloud#data platforms#data warehouses#data lakes#data programming#agentic platforms#data science#machine learning#large language models#r.a.g.#value selling
About Google
Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React
At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.
Company
GoogleJob Posted
2 weeks ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Mid-Senior
Locations
Bengaluru, India
Mumbai, India
Qualification
Bachelor
Applicants
Be an early applicant
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