We are seeking a dynamic and highly skilled Principal Data Engineer who has extensive experience building self -service enterprise scale data platforms with microservices architecture and lead these foundational efforts. This role demands someone who not only possesses a profound understanding of the data engineering landscape but also has a very strong software engineering background specially building microservices frameworks and architectures. The ideal candidate will be an individual contributor as well as the technical lead and contribute significantly to platform development and actively shape our data ecosystem. What we offer: Career Development Competitive Compensation and Benefits Pay Transparency Global Opportunities Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The base pay range for this role is estimated to be $94,000-$198,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills. Tasks and Qualifications: This is What You Will do in This Role: As a principal engineer, you will be responsible for ideation, architecture, design and development of our enterprise data platform. Architect and design core components with a microservices architecture, abstracting platform, and infrastructure intricacies. Create and maintain essential data platform SDKs and libraries, adhering to industry best practices. Design and develop connector frameworks and modern connectors to source data from disparate systems both on-prem and cloud. Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices while keeping costs in check. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data. Design and develop microservices based semantic layer and metadata management components. Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions. Design and develop advanced analytics and machine learning capabilities on the data platform. Design and develop observability and data governance frameworks and practices. Stay up to date with the latest data engineering trends, technologies, and best practices. Drive the deployment and release cycles, ensuring a robust and scalable platform. What We are Looking For: 15 of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience. Prior experience architecting and building successful self-service enterprise scale data platforms in a green field environment with microservices based architecture. Proficiency in building end to end data platforms and data services in GCP is a must. Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub. Experience with Microservices architectures - Kubernetes, Docker. Our microservices are build using TypeScript, NestJS, NodeJS stack. Prefer candidates with this experience. Experience building Symantec layers. Proficiency in architecting and designing and development experience with batch and real time streaming infrastructure and workloads. Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows. Hands-on experience with GCP ecosystem and data lakehouse architectures. Strong understanding of data modeling, data architecture, and data governance principles. Excellent experience with DataOps principles and test automation. Excellent experience with observability tooling: Grafana, Datadog. Nice to have: Experience with Data Mesh architecture. Experience building Semantic layers for data platforms. Experience building scalable IoT architectures #LI-DP1 #In-post If you want to be part of keeping the world moving, the KION Group is the right place. Across more than 100 countries worldwide, our solutions improve the flow of material and information within factories, warehouses, and distribution centers. KION´s success is based on our more than 42,000 committed international employees. With our international brands Linde Material Handling, STILL and Baoli and the regional brands Fenwick, and OM, the KION Group represents the highest possible level of technology and service expertise in the area of forklifts and warehouse technology. Dematic with its automated material handling solutions improve the intralogistics processes in warehouses, production and distribution. We offer interesting jobs and exciting international career opportunities, both in our regional and global operating units and in our overarching group functions within an innovative, forward-looking and fast-growing sector. Our culture is driven by our corporate values: Integrity, Collaboration, Courage and Excellence.