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Join a dynamic startup as a Senior/Staff Data Platform Engineer, where you will design scalable data architectures and build efficient data pipelines. This role is crucial for driving data-driven decision-making and tackling exciting challenges in a rapidly evolving data landscape. Work fully remotely with a talented team, contributing to innovative solutions that impact business success. With flexible hours and opportunities for professional growth, this position offers a chance to shape the future of cloud software development while collaborating with some of the brightest minds in the industry.
We are seeking an experienced Senior/Staff Data Platform Engineer with a proven track record of designing and building scalable data architectures, developing robust data models, and implementing data solutions that directly drive business success.
LocalStack is a dynamic, fast-growing startup headquartered in Zurich, Switzerland, with a development office in Vienna, Austria, and remote team members across the globe (including the US, France, UK, India, Mexico, Switzerland, and the Netherlands). We specialise in creating world-class tools to support highly efficient development and testing feedback loops for cloud application developers. Our flagship product, the LocalStack cloud emulator, is a lightweight cloud sandbox running in Docker, enabling users to develop cloud applications entirely on their local machines.
With a robust open-source community (51k+ stars on GitHub), hundreds of thousands of active users, and over 180 million downloads, LocalStack is on an exciting growth journey. Our international customer base includes Fortune Global 500 companies, and our team of top-tier engineers and GTM experts are dedicated to becoming the leading platform for local cloud software development.
We are seeking an experienced Senior/Staff Data Platform Engineer with a proven track record of designing and building scalable data architectures, developing robust data models, and implementing data solutions that directly drive business success. As we expand our platform’s features and customer base, our data challenges and team are also growing.
Our current data landscape has grown organically and consists of several key components - including our high-volume product telemetry where we’re tracking some 100M+ weekly usage events from different LocalStack installations, as well as our Data Warehouse (DWH) that provides the foundation and data model for our business analytics. We are at a critical crossroads where we need to tackle some major refactorings in the data platform to ensure our platform is ready for the next evolution of the company, including a semantic metadata layer, continuous data quality checks, systematic schema evolution, and scalable real-time data transformation pipelines.
Your role will be critical in addressing these challenges by helping to build and optimise data pipelines, automating the generation of insights from large datasets, and enabling data-driven decision-making across the organisation.
We strive to be a genuinely data-driven company, so you will be working at the heart of what will make LocalStack successful in the long run.
If you believe you are a good fit for this role, please send your CV to jobs@localstack.cloud . We look forward to hearing from you and exploring how you can contribute to our exciting journey at LocalStack!
LocalStack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees.