Customer Engineer II, Data Analytics, Central, Google Cloud

$142,000 - $214,000/Yr

Google - Austin, TX

Full-time - Mid Level

Austin, TX

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About the position

The Customer Engineer II, Data Analytics role at Google Cloud involves partnering with technical sales teams to provide expertise in data analytics and cloud solutions. The position focuses on understanding customer needs, developing tailored cloud architectures, and facilitating the adoption of Google Cloud products. The role requires engaging with technical stakeholders and presenting solutions that enhance productivity and collaboration for customers across various sectors.

Responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer objections, and develop strategies to resolve technical blockers related to the data lifecycle.
• Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy and product briefings.
• Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
• Prepare and deliver sales messaging to highlight the Google Cloud value proposition, using techniques such as presentations and product demonstrations.
• Engage with customers to understand their business and technical requirements and present practical solutions on Google Cloud.

Requirements

• 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, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Nice-to-haves

• 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 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.
• Experience with aspects of cloud computing (e.g., infrastructure, storage, platforms and data), as well as the cloud market, engaged dynamics and customer buying behavior.
• Ability to break down requirements and design technical architectures.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan with company matching
• Paid time off
• Parental leave
• Employee assistance program
• Wellness programs
• Professional development opportunities