Data Engineer / Platform Engineer - Amplience CMS

As a Data Engineer / Platform Engineer specializing in Amplience CMS integration, your role will involve designing and managing scalable data pipelines to connect Amplience CMS with various enterprise systems, analytics platforms, and data platforms. You will work on cloud-native data platforms and API-driven architectures to ensure efficient data exchange and content delivery. Your responsibilities will include: Designing, developing, and maintaining scalable data pipelines for integrating Amplience CMS with downstream enterprise systems. Building and managing RESTful and GraphQL API integrations for content and product data exchange. Developing cloud-native workflows for data ingestion, transformation, and delivery. Collaborating with cross-functional teams to ensure seamless content delivery and availability. Implementing monitoring, logging, alerting, and troubleshooting mechanisms for production systems. Optimizing data storage, processing, and pipeline performance for scalability and cost efficiency. Ensuring data quality, consistency, governance, and security standards across systems. Supporting CI/CD pipelines and following DevOps and Infrastructure-as-Code best practices. Working on event-driven and asynchronous data processing architectures. Providing root cause analysis and production support for critical issues. Mentoring junior engineers and contributing to engineering standards and architectural decisions. Qualifications Required: 6-10 years of experience in Data Engineering or Platform Engineering roles. Hands-on experience with Amplience CMS (Dynamic Content, Content Hub, APIs). Robust programming experience in Python, Java, or Node.js. Strong expertise in REST APIs and GraphQL integrations. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong understanding of ETL/ELT pipelines and workflow orchestration tools. Experience with SQL and NoSQL databases. Knowledge of event-driven architectures using Kafka, SNS/SQS, or Pub/Sub. Familiarity with CI/CD tools, Git, and Infrastructure-as-Code practices. Strong debugging, analytical, and problem-solving skills. Ability to work effectively in cross-functional and distributed teams. Preferred Skills: Experience in eCommerce or Digital Experience platforms. Exposure to headless CMS architecture and composable commerce ecosystems. Experience with containerization tools like Docker/Kubernetes is an advantage. As a Data Engineer / Platform Engineer specializing in Amplience CMS integration, your role will involve designing and managing scalable data pipelines to connect Amplience CMS with various enterprise systems, analytics platforms, and data platforms. You will work on cloud-native data platforms and API-driven architectures to ensure efficient data exchange and content delivery. Your responsibilities will include: Designing, developing, and maintaining scalable data pipelines for integrating Amplience CMS with downstream enterprise systems. Building and managing RESTful and GraphQL API integrations for content and product data exchange. Developing cloud-native workflows for data ingestion, transformation, and delivery. Collaborating with cross-functional teams to ensure seamless content delivery and availability. Implementing monitoring, logging, alerting, and troubleshooting mechanisms for production systems. Optimizing data storage, processing, and pipeline performance for scalability and cost efficiency. Ensuring data quality, consistency, governance, and security standards across systems. Supporting CI/CD pipelines and following DevOps and Infrastructure-as-Code best practices. Working on event-driven and asynchronous data processing architectures. Providing root cause analysis and production support for critical issues. Mentoring junior engineers and contributing to engineering standards and architectural decisions. Qualifications Required: 6-10 years of experience in Data Engineering or Platform Engineering roles. Hands-on experience with Amplience CMS (Dynamic Content, Content Hub, APIs). Robust programming experience in Python, Java, or Node.js. Strong expertise in REST APIs and GraphQL integrations. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong understanding of ETL/ELT pipelines and workflow orchestration tools. Experience with SQL and NoSQL databases. Knowledge of event-driven architectures using Kafka, SNS/SQS, or Pub/Sub. Familiarity with CI/CD tools, Git, and Infrastructure-as-Code practices. Strong debugging, analytical, and problem-solving skills. Ability to work effectively in cross-functional and distributed teams. Preferred Skills: Experience in eCommerce or Digital Experience platforms. Exposure to headless CMS architecture and composable commerce ecosystems. Experience with containerization tools like Docker/Kubernetes is an advantage.