Customer Engineer, Data Analytics, AI (Czech)
Google Zobrazit všechny práce
- Praha
- Trvalý pracovní poměr
- Plný úvazek
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- 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 batch versus streaming.
- Ability to communicate in Czech fluently to engage with clients in the region.
- Experience in technical sales or consulting in cloud computing, data analytics, or big data.
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data visualization tools.
- Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
- Experience with aspects of cloud computing (e.g., infrastructure, storage, platforms and data), cloud market, engaged dynamics and customer buying behavior.
- Experience prospecting, building and maintaining customer relationships from scratch, with building Greenfield territories in enterprise accounts.
- Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.
- Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
- Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
- Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
- Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and Request for Information (RFI) responses.