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Enterprise Customer Engineer, Data Analytics
Skills
Cloud-Native ArchitectureCustomer RequirementsData GovernanceData ScienceData VisualizationExtractTransform
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree or equivalent practical experience
- 6 years of experience with cloud-native architecture in a customer-facing or support role
- Experience engaging with, and presenting to, technical stakeholders and executive leaders
- Experience with Big Data technologies or concepts such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming
Nice to have
- Experience in technical sales or consulting in cloud computing, data analytics, or Big Data
- Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems
- Experience with aspects of cloud computing infrastructure, storage, platforms and data, as well as the cloud market, engaged dynamics and customer buying behavior
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures
- Understanding of customer requirements, with the ability to break down requirements and design technical architectures
Day to day
- Partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to customers
- Help prospective and existing customers understand the power of Google Cloud
- Develop cloud solutions and architectures to solve business challenges
- Engage in proofs of concepts and troubleshoot technical questions and roadblocks related to database migrations and the data life-cycle
- Persuasively present practical and useful solutions on Google Cloud to customers