Plato is building a real-time data platform and data warehouse that powers customer-facing analytics and ML models. As a founding team member, you’ll lead the development of core data infrastructure and collaborate across data science, product, design, and engineering to deliver impactful data products.

What youll do

• Carry out data modeling that powers real-time customer-facing analytics and data products.
• Design flexible schemas that store data from many different sources.
• Develop and maintain data pipelines for machine learning algorithms and real-time dashboards.
• Partner with data consumers across Plato to understand consumption patterns and design intuitive data models.
• Write and deploy high-performance real-time transformations within our data warehouse.
• Own and configure our data platform (Databricks).
• Collaborate with our product and engineering teams to build a data product that end-users love.

What Plato is looking for

• 3+ years of experience in data engineering.
• Hands-on experience with AWS data services (S3, Glue, Redshift) or equivalent AWS data engineering environment.
• Experience building ETLs/ELTs, ideally in PySpark and Airflow.
• Experience with SQL, data warehouses (Databricks or Snowflake) and data transformation workflows (dbt).
• Experience building real-time streaming data pipelines (e.g., Spark Structured Streaming, Kafka, Kinesis).
• Understanding of Software Engineering practices and Data Engineering principles; ability to collaborate with cross-functional teams and communicate data platform roadmap.
• MLOps knowledge would be appreciated.
• Strong statistics/mathematics background is a plus.
• Experience applying analytics to customer-facing applications and leveraging data to power product decisions.