Cloud Data Developer, Professional Services, Google Cloud jobs in United States
cer-icon
Apply on Employer Site
company-logo

Google · 3 days ago

Cloud Data Developer, Professional Services, Google Cloud

Google is a leading technology company that offers cloud solutions to help businesses thrive. As a Cloud Data Developer, you will guide customers in ingesting, storing, processing, analyzing, and visualizing data on Google Cloud Platform while leading data migrations and designing scalable data processing systems.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Act as a trusted technical advisor to customers and solve 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 regularly up to 30% of the time as needed, in-region for meetings, technical reviews, and onsite delivery activities
Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities

Qualification

Data processing softwareJavaPythonTechnical consultingData warehousesBig DataMachine learningMulti-tier applicationsSoftware development

Required

Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
5 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume)
Experience writing software in Java, C++ and Python
Experience managing client-facing projects, troubleshooting technical issues, and working with Developing and Sales Services teams

Preferred

Experience in technical consulting
Experience working with data warehouses, data lake, lake house including data technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments
Experience working with Big Data, information retrieval, data mining, or machine learning
Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow)
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments

Benefits

Bonus
Equity
Benefits

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

leader-logo
Sundar Pichai
CEO
linkedin
leader-logo
Thomas Kurian
CEO - Google Cloud
linkedin
Company data provided by crunchbase