Senior Manager, Data Integration

Job Description

Your primary responsibility will be to build and maintain the infrastructure required to host our data engineering ecosystem, including managing cloud resources, containerization, and orchestration. You will drive the technical implementation and manage the adoption. You will also understand customer needs and product relations within the wider Data Integration and Central Data and Analytics ecosystem. You will participate in setting the team goals and defining product roadmaps. You will participate in the product development and be responsible for product enhancements. You will be part of the product team, participate in the backlog prioritization, provide estimation, and ensure seamless delivery. You will ensure the platforms operation, seek optimization and help manage its overall cost. You will support the platform adoption by constantly and proactively collecting feedback. What Should you have: Bachelor s degree in information technology, Computer Science, or equivalent experience Minimum of 7+ years of developing data pipelines data infrastructure, ideally within a drug development or life sciences context Strong working knowledge of at least one large-scale data processing technology (e.g., High-performance computing, distributed computing), databases, and underlying technology (cloud or on-prem environments, containerization, distributed storage databases) Experienced in software/data engineering practices (including versioning, release management, deployment, agile related software tools - GitHub Actions, Jenkins, Cloudbees CD, Terraform, Cloudformation, Kubernetes etc). Cloud-native, ideally AWS certified. Programming experience (Python, Bash, Node.js, Linux and, Unix Shell, etc.) Familiarity with agile methodologies, user-centric design principles, and product lifecycle management is crucial. You must also ensure substantial documentation using collaborative tools such as Confluence, JIRA, and Digital SDLC. Basic QA and testing knowledge Good interpersonal and communication skills (verbal and written). Product and customer-centric approach. Innovative thinking, experimental mindset.