Cloud Consultant, Data Analytics, Google Cloud

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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 Cloud Consultant for Big Data and Analytics, you will work with customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical capabilities to customer engagements while working with customer executives and key technical leaders to deploy solutions via Google Cloud Platform. You will also work with key partners, serving accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

Responsibilities

  • Manage and deliver successful implementations of cloud solutions, in collaboration with customer technical leads, client executives, and partners. Act as a trusted advisor to decision makers throughout the engagement.
  • Propose solution architectures and manage the deployment of cloud based data and analytics solutions, according to complex customer requirements and implementation best practices.
  • Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.
  • Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks or issues, and timelines for successful client outcomes.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with customer-facing designing and deploying distributed data processing systems with one or more technologies.
  • Experience with SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Mongo, Cassandra, DynamoDB, etc.).
  • Experience with data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses.

Preferred qualifications:

  • 5 years of experience in managing technical client service.
  • Experience with reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript.
  • Experience in devising migration approaches, and migrating on-premise data processing systems to Cloud.
  • Experience with designing and deploying distributed data processing systems with one or more technologies: SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza or Teradata.
  • Knowledge of building and operationalizing data pipelines.