Data Specialist I, Professional Services, Google Cloud

Minimum qualifications:

• Bachelor’s degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
• 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive, Airflow) and algorithms (e.g., MapReduce, Flume).
• 3 years of experience with Google Cloud.
• Experience managing client-facing projects, troubleshooting technical issues, and working with Development and Sales Services teams.
• Experience programming in Python, Java, or SQL.

Preferred qualifications:

• Experience in technical consulting.
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
• Experience working with data lake/platform, including technical architectures, infrastructure components, ETL/ELT, orchestration, data management, and real-time data processing.
• Experience working with Big Data, information retrieval, data mining, or machine learning.
• Ability to collaborate effectively across organizational boundaries and build relationships and influence stakeholders.

Ability to collaborate effectively across organizational boundaries and build relationships and influence stakeholders.Ability to collaborate effectively across organizational boundaries and build relationships and influence stakeholders.

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.

As a Data Specialist, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform issues.

In this role, you will collaborate with Google Cloud customers and our team to implement Google Cloud products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

In this role, you will collaborate with Google Cloud customers and our team to implement Google Cloud products.

Responsibilities

• Act as a trusted technical advisor to customers and solve complex Big Data issues.
• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
• Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
• Travel up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities as needed.
• Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.