IBM Software Architect 

India, Karnataka, Bengaluru 

960028985

This opportunity is for a new Open Data Lakehouse product that IBM intends to bring to the market . We are looking for seasoned professionals who are passionate about data, familiar with data warehouse, data lake and data lakehouse products in the market.

• Work in an Agile, collaborative environment to build, deploy, configure, and maintain Lakehouse (SaaS) on multiple hyperscalers.
• You will work in an innovation driven, collaborative environment to understand requirements, architect, design and implement functionalities / features.
• Use continuous integration tools like Jenkins and Artifactory to build automation pipeline to deploy different service workloads for Lakehouse.
• Collaborate multiple development teams to enable a continuous integration environment that sustains high productivity levels and emphasizes defect prevention techniques.
• Design and implement automation for deployment, monitoring, logging, alerting of large-scale Lakehouse environments.
• You will mentor team members.

Required Technical and Professional Expertise

• 12+ Years of strong development experience in cloud technologies.
• Working knowledge on Virtualization, containerization technologies, containers orchestration software (Kubernetes and OpenShift) and cloud platforms
• Working knowledge on Kubernetes clusters administration
• Working experience on cloud services (Amazon Web Services, IBM Cloud, Microsoft Azure, Google Cloud Platform)
• Working knowledge on Development and operation of fully managed SaaS services
• Working knowledge on Cloud SaaS security
• Languages: GO, Python, Ruby
• CI/CD Tools: Jenkins, Artifactory
• Working knowledge on RDBMS, data warehouse, data lakes
• Source Control Tools: Git, GitHub
• Excellent verbal and written communication skills with the ability to present complex technical information.
• Self-starter, organized, willing to learn and solve things on your own.
• Growth-mindset: Willingness to learn new technologies and processes.
• Good collaboration and communications – working with diverse global teams
• Strong teaming skills and proven leadership skills
• Mentoring and staff technical skills development

Preferred Technical and Professional Expertise

• Familiarity with Hive metastore and open data formats (Iceberg, Delta Lake, Hudi)
• Open-source data engines: Presto, Spark
• Data governance management
• Open-source software development