Customer Engineer II, Data Analytics @ Google
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Job Details
Minimum Qualifications
Bachelor's degree or equivalent practical experience and 6 years in cloud native architecture in a customer-facing or support role. Experience with Big Data technologies such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming. Must have experience engaging with and presenting to technical stakeholders and executive leaders.
Preferred Qualifications
Experience in technical sales or consulting in cloud computing, data analytics, or Big Data. Background in architecture design, implementing scalable and distributed systems including tuning, schema design, and query optimization. Proven experience with data warehousing, data lakes, batch/real-time event processing, streaming, ETL/ELT, data migrations, data visualization, and data governance on cloud native architectures. Familiarity with cloud computing aspects such as infrastructure, storage, and platforms alongside knowledge of the cloud market and customer buying behavior. Ability to understand and break down customer requirements into technical architectures.
About the Job
When leading companies choose Google Cloud, it amplifies the reach of cloud computing globally. As a Customer Engineer, you will partner with technical sales teams to serve as a data analytics subject matter expert, guiding prospective and existing customers in understanding Google Cloud solutions. Your role involves developing creative cloud solutions, engaging in proofs of concept, and troubleshooting technical challenges related to database migrations, data back ends, and the entire data lifecycle. You will collaborate with product marketing, management, and engineering teams to stay ahead of industry trends and continuously improve Google Cloud products.
Responsibilities
- Identify and qualify business opportunities and resolve technical blockers.
- Support customer relationships with data analytics expertise and product demonstrations.
- Conduct technical discovery and architect tailored client solutions.
- Demonstrate Google Cloud integrations and prototype solutions in customer environments.
- Prepare and deliver targeted sales messaging using varied presentation techniques.
Key skills/competency
- Customer Engineer II, Data Analytics
- Cloud Native
- Big Data
- ETL/ELT
- SQL
- NoSQL
- Technical Sales
- Architecture Design
- Data Governance
- Presentation Skills
How to Get Hired at Google
🎯 Tips for Getting Hired
- Research Google Cloud's culture: Study their mission, values, and product innovations.
- Customize your resume: Highlight cloud native and Big Data expertise.
- Network with current employees: Connect on LinkedIn and attend meetups.
- Prepare for technical interviews: Review cloud architecture and case studies.