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About Rackspace Technology: We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
Job Responsibility:
Work with APJ customers and the wider Rackspace organizations on re-thinking and re-designing Data landscapes using cloud-native technologies
Excellent technical architecture skills, design and deliver innovative Proof of Concepts for customers
Support with the enhancement of delivery capabilities across the APJ Data delivery teams
Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the AWS or Azure
Implement project and refine specifications with our Data Engineers, Data Analysts and Data Architects
Lead and deliver workshops, ideation and strategy sessions for customers working to solve their business use cases with innovative technology solution
Mentor and train other architects/Engineer within the wider Rackspace community on modern Big data and cloud-native Data Technologies
Requirements:
Highly technical and analytical, possessing 10+ years of Datawarehouse and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security, and compliance experience
You have some exposure on managing Data Engineers/ Data Analysts team or managed services teams along with Professional services team of 10+ resources
Minimum of 5 years of experience in architecture of modern data Warehousing platforms using technologies such as Big Data and Cloud
Self-starter, highly aggressive and motivated to provide the highest possible level of responsiveness and performance from a team of people
Large scale design, implementation, and operations of OLTP, OLAP, DW and NoSQL data storage technologies such as SQL Server, Azure SQL, Azure Synapse Analytics, PostgreSQL, CosmosDB, RedisCache, Azure Data Lake Store, Hadoop, Hive, MySQL, Neo4j, Cassandra, HBase
Experience working within an agile development process (Scrum, Kanban, etc)