Data Platform Engineer
Core
Design, build, and scale data infrastructure and ingestion flows to power batch pipelines, live inference, and streaming initiatives for backend, ML, analytics, and marketing teams.
Role type
Senior IC data platform engineer
Builds
Shared data infrastructure, ML workflows, data processing platforms, and self-service tooling for teams
Domain
Cloud-native data engineering and platform infrastructure
Required skills
Python, SQL, AWS Redshift, S3, Airflow, AppFlow, Metaflow, dbt, dlt, Terraform, CI/CD, observability, distributed systems
Preferred skills
Streaming (Kinesis, Firehose, Flink), Kubernetes, Helm
Technologies
AWS (Redshift, Lambda, Kinesis, Firehose, S3, Glue, EMR, AppFlow), Airflow, Flink, dlt, dbt, Metaflow, Python, Terraform, GitHub Actions, Docker, OpenSearch, RDS
Responsibilities
Design and maintain reusable data processing solutions and services; own shared infrastructure for ML workflows and data storage; partner with product and tech leads to translate use cases into technical requirements; automate observability metrics and data integrity tests for governance.
Seniority
Senior, hands-on IC
