Dematic - Plano, TX
posted about 2 months ago
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, especially in 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. As a principal engineer, you will be responsible for ideation, architecture, design, and development of our enterprise data platform. You will architect and design core components with a microservices architecture, abstracting platform, and infrastructure intricacies. Your role will involve creating and maintaining essential data platform SDKs and libraries, adhering to industry best practices. You will also design and develop connector frameworks and modern connectors to source data from disparate systems both on-prem and cloud. In addition, you will design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices while keeping costs in check. You will design and develop data quality frameworks and processes to ensure the accuracy and reliability of data, as well as develop microservices-based semantic layer and metadata management components. Collaboration with data scientists, analysts, and cross-functional teams to design data models, database schemas, and data storage solutions will be a key part of your responsibilities. Furthermore, you will design and develop advanced analytics and machine learning capabilities on the data platform, as well as observability and data governance frameworks and practices. Staying up to date with the latest data engineering trends, technologies, and best practices will be essential, as will driving the deployment and release cycles to ensure a robust and scalable platform.