Cloud Consultant, Data Analytics, Google Cloud (Bahasa)

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, 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 data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses.
• Experience with SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Mongo, Cassandra, DynamoDB, etc.).
• Ability to communicate in Bahasa language fluently to support client relationship management in this region.

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.

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.

In this role, you will work with customers on projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while guiding customer executives and technical stakeholders on project related decisions. You will serve as a liaison between the customers and product teams to drive product excellence and adoption. You will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.

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 $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

• Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions.
• Become a trusted advisor to decision makers throughout the engagement.
• Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
• Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for client outcomes.
• Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices.