Summary

The Data Platform team develops and owns the systems that enable Ramp's reporting and strategic decision-making and integrate machine learning models into our operational systems and the product itself. As a member of the Data Platform team, you’ll build and maintain the infrastructure that enables Ramp to realize value from data. You’ll also partner with Ramp’s analytics engineers, applied scientists, software engineers, and other data professionals to build internally and externally-facing data infrastructure & products.

Our ideal candidate is excited about building systems for data collection, processing, storage, and retrieval, and is also passionate about making these systems observable, reliable, scalable, and highly automated.

What You’ll Do

1. Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
2. Build tools that improve the agility and data experience of Ramp's Data Scientists, Analytics Engineers, Engineers, and Operations teams.
3. Build the batch and streaming data pipelines critical to Ramp’s daily operations using Airflow, Snowflake, ClickHouse, Kafka, and other data processing technologies.
4. Collaborate with stakeholder teams on building and productionizing analytical products and machine learning systems.
5. Build reliable, scalable, maintainable, and cost-efficient systems across the stack.

What You Need

1. Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
2. Experience building infrastructure on AWS, GCP, or Azure.
3. Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
4. Intuition around analytics and machine learning.
5. Strong Python programming skills.
6. Track record of building highly reliable infrastructure for data storage and processing.

Nice-to-Haves

1. Expertise with AWS
2. Previous experience building online machine learning systems.
3. Previous experience building a feature store.
4. Experience with Terraform and Datadog
5. Experience building streaming systems.

Skills

• Analytical Thinking
• AWS
• Development
• Machine Learning
• Python
• Software Engineering