Job Description
D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Lead and Support Databricks Implementations Design, architect, and implement scalable data solutions using Azure Databricks. Define best practices, optimize performance, and ensure secure, maintainable deployments. Own Data Platform Architecture Contribute to the design and evolution of the Azure-based data platform, ensuring it meets business, scalability, and reliability requirements. Ensure Platform Stability & Operations Maintain and support day-to-day operations of the data and cloud infrastructure, proactively monitoring performance, troubleshooting issues, and ensuring high availability. Implement Best Practices & Governance Establish and enforce standards for cloud architecture, data engineering, security, and cost optimization across Azure services. Collaborate Across Teams Work closely with data engineers, analysts, DevOps, and business stakeholders to align technical solutions with business needs. Optimize Performance & Costs Continuously analyze workloads and infrastructure usage to improve efficiency, scalability, and cost-effectiveness within Azure. Drive Automation & DevOps Practices Implement CI/CD pipelines, infrastructure as code (IaC), and automation for deployment and operational processes. Provide Technical Leadership Act as a subject matter expert for Azure and Databricks, mentoring team members and guiding technical decisions. Support Data Engineering Workloads Enable and optimize ETL/ELT pipelines, data ingestion, transformation, and orchestration processes. Ensure Security & Compliance Apply Azure security best practices, including identity management, access control, and data protection.