Staff Engineer, Data Platform

About the role

We're looking for a Staff Software Engineer, Data to lead the design and evolution of the data infrastructure that powers Albert OS. This is a high-impact role for someone who thinks deeply about data architecture across analytical and transactional systems, cares about correctness and reliability at scale, and can influence engineering direction across teams.

What you'll do

• Own the architecture and evolution of our core data platforms, spanning Lakehouse infrastructure, analytical pipelines, and transactional systems
• Design and build scalable data ingestion and transformation pipelines (batch and streaming) with a strong emphasis on data quality, reliability, and downstream usability
• Define data modeling standards across our stack, including dimensional, medallion, and schema-first patterns
• Drive performance optimization across SQL and NoSQL systems, with a focus on query efficiency, partitioning strategies, and throughput at scale
• Collaborate closely with API and Data Science teams to build robust pipelines and shared data contracts

What you need

• 8–14 yrs of experience
• SQL
• Machine learning
• Python
• Data modelling
• AWS
• Databricks
• Any graduate

Good to have

• DynamoDB
• PostgreSQL
• Spark
• NoSQL
• Grafana
• IAM