Your responsibilitiesJoining our data team, you'll lead the build of Plato's real-time data platform, data warehouse, and the infrastructure behind our suite of data products.
You'll work closely with data science, product, design, and engineering to build the data foundation that powers customer-facing analytics and ML models.
What you'll actually do:Carry out the data modeling that powers real-time, customer-facing analytics and the data products inside our appDesign flexible schemas that can absorb data from many different sourcesPartner with data consumers across Plato to understand usage patterns and design intuitive data modelsWrite and deploy high-performance transformations within our data warehouseOwn and configure our data platform (Databricks), working closely with product and engineering to ship data products the team actually usesYour qualificationsMust-haves:3+ years of experience in data engineering, building and owning ETLs/ELTs end to endHands-on experience with SQL, data warehouses (e.
Databricks or Snowflake), and data transformation workflows (e.
dbt)Solid grounding in both software engineering practices and data engineering principlesA strong analytics background - comfortable preparing aggregates in a business context and reasoning through stakeholder logicAn experimental, launch-fast-and-iterate mindset, genuinely interested in how data engineering powers customer-facing analyticsNice-to-haves:Experience at a high-growth tech startupFamiliarity with our stack: Python, PySpark, Terraform, AWS, Databricks, dbt, StarRocksWhy us?You'll join Plato's data team with real ownership over how our data platform, warehouse, and infrastructure evolve - much of it is still being built, so there's genuine room to shape the architecture rather than just maintain it.
Your work will directly power the forecasts and recommendations that C-suite executives at some of the largest wholesale and distribution businesses rely on to run a $48tn industry.