Job Description
Google Cloud Platform Cloud Analytics, Manager
The Team
AI & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data Engineering (AI&DE) team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI&DE will work with our clients to:
Qualifications
Required:
Preferred:
AI&DE23
The Team
AI & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data Engineering (AI&DE) team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI&DE will work with our clients to:
- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Qualifications
Required:
- 6+ years experience with relevant technology consulting experience to include, enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
- 3+ years of relevant technology architecture consulting or industry experience with ability to contribute to an end-to-end architecture and solution overview using Google Cloud Platform (Google Cloud Platform) tools
- 1+ years experience leading and delivering complex technology engagements with resources in multiple locations
- Bachelor's Degree or equivalent professional experience
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Experience with Snowflake cloud data warehouse
- Experience with Databricks
- Experience with Google Cloud Platform Cloud DataFlow highly preferred
- Experience with with SQL, Spark, Python and Java highly preferred
- Experience with Google Cloud Platform to include:
- BigQuery
- Cloud Data Fusion,
- Cloud Pub/Sub
- Kubernetes
- Also, Apache Kafka and Striim
- Google Cloud Platform Certifications
- Experience with other leading commercial Cloud platforms, including Azure and AWS
- Strong oral and written communication skills, including presentation skills (ie: MS PowerPoint)
- Ability to create critical collaterals for client workshops and customer interactive sessions
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
- An advanced degree in the area of specialization
AI&DE23
