Cloud Architect

Cloud Architect Job Description Template

Our company is looking for a Cloud Architect to join our team.


  • Respond to technical issues in a professional and timely manner;
  • Work closely with IT security to monitor the companys cloud privacy;
  • Develop and organize cloud systems;
  • Create a well-informed cloud strategy and manage the adaption process;
  • Identify the top cloud architecture solutions to successfully meet the strategic needs of the company;
  • Regularly evaluate cloud applications, hardware, and software;
  • Drive thought leadership and support evangelization activities working with Sales;
  • Product Evaluation and tracking cloud services and impact on reference architecture;
  • Creating Point of View of Cloud Solution;
  • Work with Cloud Practice office to provide technical solutions/services roadmap;
  • Responsible for Executing the Tools POC on Cloud;
  • On need basis, involve in customer project delivery and managing customer expectations;
  • Drive business innovations through systems on Cloud;
  • Prepare technical proposals and work on sizing and estimation;
  • Drive technical discussions and explain Mindtree solutions and product options to meet customer needs.


  • Experience supporting and working with cross-functional teams in a dynamic environment;
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift;
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc;
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores;
  • Experience in AWS & Azure Cloud;
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets;
  • Experience with big data tools: Hadoop, Spark, Kafka, etc;
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management;
  • Strong project management and organizational skills;
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc;
  • Strong analytic skills related to working with unstructured datasets;
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra;
  • A successful history of manipulating, processing and extracting value from large disconnected datasets;
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.