Job Title

Enterprise Architect - Adobe Commerce tools Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Enterprise Architecture Framework Good to have skills : Adobe Magento Commerce, CommerceTools Commerce Platform Experience in building large-scale processing and business services projects using Cloud technologies – (Lambda, Microservices S3, EC2, EMR, Kinesis, DynamoDB, API Gateway) Experience in Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) Data Modeling and tuning of relational as well as NoSQL datastores (Athena, MongoDB, MySQL, Red-shift, etc.) Experience in Python programming language.(Good to have) Experience building/operating highly scalable, fault tolerant, distributed systems for extraction, ingestion and processing of large data sets Experience with Software engineering best-practices, including but not limited to Version Control (Git, Subversion, etc.), CICD (Jenkins, Maven etc.), automated unit testing Cloud Native and Cloud Experience - Experience using cloud-native tools and design patterns (Containers, Serverless, Docker, Kubernetes, etc.) is a plus. Product Knowledge Requirements One of the below hands on and knowledge on all the skills Experience & knowledge with Adobe Experience Cloud solutions, Deep Understanding is must Experience & knowledge with Web Analytics or Digital Marketing in Adobe Marketing Cloud, Deep Understanding is must Experience & knowledge with Commerce products like SAP Hybris, CommerceTools or Adobe Commerce or equivalent, Deep Understanding is must Experience & knowledge with FED frameworks like React , Angular mainly from Design aspects Experience & knowledge with Digital Integration / API Middleware platforms like iPaaS or Any API Middleware like WSO2, Mulesoft or equivalent. Strong in Integration Architecture concepts Experience & knowledge with AWS or Google Cloud platforms. Strong Cloud Native knowledge Experience & knowledge with Data Science, ML/AI, R or Jupyter. Good to have knowledge Experience & knowledge with Customer Data Platform (CDP). Any tool knowledge Experience & knowledge with Data Management Platform (DMP) or Demand Side Platforms (DSP) Experience as an enterprise technical or engineer consultant