Data Platform Engineer
Core
Design, develop, and optimize data infrastructure and pipelines to empower teams to build their own data products and deliver reliable datasets for business analytics and AI.
Role type
Senior Data Platform Engineer
Builds
Scalable data infrastructure, ETL/ELT pipelines, and data products for internal teams
Domain
SaaS / Conversational AI / Data Engineering
Deliverable
production ML models
Required skills
Cloud data infrastructure (AWS, Snowflake), Data pipeline orchestration (Dagster, Prefect), Data modeling, SQL, Python, DevOps (CI/CD, Docker, Kubernetes), Data observability (Monte Carlo, Great Expectations)
Preferred skills
Experience with data cataloging, advanced data modeling techniques, experimenting with emerging data tools
Technologies
AWS, Snowflake, Redis, dbt, Dagster, Prefect, Monte Carlo, Great Expectations, DataHub, Docker, Kubernetes, Git
Responsibilities
Design and evolve data infrastructure for team autonomy; Build and optimize scalable data ingestion and processing pipelines; Implement data quality monitoring, governance, and security practices; Collaborate with analysts and ML scientists to deliver structured datasets; Experiment with new data tools and modeling techniques to improve system capabilities
Seniority
Senior, hands-on IC