Customer and Partner Solutions Engineer, AI, Google Cloud

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

• Experience writing software in Python, Scala, R, or similar.

• Experience with data structures, algorithms, and software design.

• Experience in solution engineering and in stakeholder management, professional services, or technical consulting.

• Experience troubleshooting technical issues for internal/external partners or customers.

• Ability to travel up to 30% of the time as needed.

Preferred qualifications:

• 3 years of experience building Machine Learning or Data Science solutions.

• Experience in an investigative role such as business intelligence, data analytics, or statistics.

• Experience working with database technologies (e.g., SQL, NoSQL).

• Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.

• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) and reporting/analytic tools and environments.

• Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

Responsibilities

• Collaborate with clients to assess their objectives and issues, identify technical gaps and uncover opportunities for solution reuse or innovation.

• Develop and deploy tailored solutions that align with client requirements while ensuring compliance with data and legal policies.

• Analyze industry specific client nuances and cultivate subject matter expertise in emerging trends.