Senior (Lead) Data Platform Engineer

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At Sievo, data is everything — we process more than 2% of global GDP in spend, and turning data at that scale into dependable products takes a serious engineering foundation. Now, we are establishing a new team to take responsibility of a central data platform that is to be the foundation for all products’ and teams’ data needs. As a Data Platform Engineer, you will build the architecture and systems that foundation is made of: controlled and reproducible environments, best practices for reliable pipelines that process and package large datasets, and the automation and quality checks that keep… This role sits at the intersection of data engineering, software engineering, and platform ownership. You will design and build architecture and systems that support the various needs of our data pipelines, data products, and multiple engineering teams working with the platform. You know how to build and manage solid environments and infrastructure for data pipelines, can help other teams design maintainable pipelines, and apply solid software engineering practices — version control, testing, automation, and reproducibility — so the products built on top are dependable. Think of it as a data e… You will work closely with data engineers, software engineers, engineering leadership and all product teams — gathering technical requirements, making sensible architectural trade-offs, and sharing ownership of the platform you help build. This is not a single-project role: in the longer term the work reaches across teams, giving you a hand in shaping Sievo's data architecture as a whole. Build and maintain the common Databricks infrastructure the data platform is built on Set up and own controlled, reproducible environments and cloud resources — permissions, deployment patterns, infrastructure-as-code, security, scalability, and cost efficiency Design and build the overarching data architecture for the platform Build best practices for data pipelines that process and move large datasets between systems, with a strong emphasis on maintainability and reliability Help other engineering teams onboard to the central data platform Help other teams design their data architecture and processing flows Build foundation for common monitoring and data quality checks and validations so that our data remains trustworthy and understandable Apply software engineering practices throughout: Git-based version control, CI/CD-style workflows, automated testing, and reproducible, production-quality code Gather technical requirements from internal stakeholders, communicate trade-offs clearly, and work with the team to take deliverables through to production Troubleshoot platform and integration issues, fixing root causes rather than symptoms You'll be the engineering backbone of a strategically important, fast-evolving engineering initiative — one whose scope is set to grow. You'll have the autonomy to shape the architecture, choose the right tools, and set the engineering standards, working directly with engineering and product leaders to turn our data into dependable, production-grade capabilities.