Data Cloud Consultant, Google Cloud Professional Services

Responsibilities

• Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming 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 successful 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.
• Travel up to 40% of the time for client engagements as needed.

Minimum qualifications:

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

Preferred qualifications:

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