Cloud Data Architect, Google Cloud Professional Services
Google
Gurugram, Haryana, India
1d ago

The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud.

Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware.

Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life.

As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Cloud Data Architect, you will guide customers on how to ingest, store, process, analyze and explore / visualize data on the Google Cloud Platform.

You will work on data migrations and transformational projects. You will work with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.

You will deploy solutions, and work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future.

Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Responsibilities

  • Be a trusted technical advisor to customers and solve complex Big Data challenges.
  • Create and deliver data solutions, best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
  • Travel regularly (up to 30%, although we also frequently use video conferencing) in-region for meetings, technical reviews, and onsite delivery activities.
  • Minimum qualifications :

  • Bachelor's degree in Computer Science, Mathematics or related technical field or equivalent practical experience.
  • 2 years of relevant work experience managing client-facing projects to completion; troubleshooting clients' technical issues;
  • working with engineering teams, sales, services, and customers.

  • Direct experience with data processing software (i.e. Hadoop, Spark, Pig, Hive) and data processing algorithms (MapReduce, Flume).
  • Preferred qualifications :

  • Experience in writing software in one or more languages such as Java, C++, Python, Go, JavaScript and proficiency in SQL.
  • Experience in working with / on data warehouses, including data warehouse technical architectures, infrastructure components, ETL / ELT and reporting / analytic tools and environments, data structures.
  • Experience in Big Data, information retrieval, data mining or machine learning, and experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, MongoDB, SparkML, TensorFlow).
  • Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
  • Relevant experience in technical consulting.
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