Cloud Data Arhitect

Introduction
In this role you’ll work in our IBM Client Innovation Center (CIC) where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ These centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you’ll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

As a Data Architect you will develop maintain evaluate and test big data solutions. You will be involved in data architecture activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.

Your primary responsibilities include:

• Design build optimize and support new and existing data models and ETL processes based on our clients business requirements.

• Build deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.

• Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.

Required Technical and Professional Expertise

• Professional programming experience and hands-on experience in building modern data platforms/pipelines
• Understanding the architecture of Data Warehouses and Data Lake concept
• Programming languages: e.g. Python Scala Java
• Frameworks: Spark Hadoop Hive (Beam Pig Kafka Storm would be considered as a plus)
• Experience with at least some tools: CI/CD Apache Airflow Oozie orchestration tools
• Search engines: Elasticsearch Solr
• Databases: NoSQL Relational databases (columnar & row-oriented) Graph databases
• Cloud platforms: AWS and its data services

Preferred Technical and Professional Expertise
NA