Senior Data Platform Engineer | Remote/Hybrid Snowflake

Race Roster; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Race Roster is building an enterprise data platform from the ground up. The Senior Data Platform Engineer partners with the Data Architect to turn a greenfield vision into an enterprise-grade system, focusing on data modeling, cost-efficient architecture, and actionable storytelling for stakeholders.

You will own the first lines of code and infrastructure, ingest data from AWS RDS and APIs, and design scalable ELT pipelines.

Qualifications

• 5+ years data engineering with business-outcome focus
• Experience with FinOps and cloud infra cost discipline
• Ability to translate source systems into clear architecture and data flows
• Strong SQL with advanced window functions and JSON/VARIANT
• Knowledge of Snowflake features: DMFs, lineage, masking

Responsibilities

• Build greenfield medallion data architecture for actionable insights
• Design compute/storage in Snowflake for ROI and cost control
• Create ELT pipelines with Python/dlt to ingest from AWS RDS, APIs, and webhooks
• Develop bronze→silver→gold data transformations and expose gold to BI
• Establish Snowflake foundation with Snowpipe, Tasks, and observability
• Support AI/ML pipelines and model training workflows
• Prototype data apps with Python notebooks and lightweight dashboards
• Integrate AI coding assistants to speed build and tests

Skills

Data engineering

Snowflake

ELT

Python

SQL

Data modeling

DAG/ETL orchestration

BI tooling (Metabase Looker Tableau BI

Education

Bachelor’s or Master’s in CS/SE or related field

Tools

Snowflake

dlt

AWS RDS

Parquet/Arrow

DuckDB

Streamlit/Gradio

Terraform

Airflow/Dagster/Prefect

Jupyter/marimo

Metabase Looker Tableau Power BI

Amazon Rekognition

Job description

Race Roster is building an enterprise data platform from the ground up. The Senior Data Platform Engineer partners with the Data Architect to turn a greenfield vision into an enterprise-grade system, focusing on data modeling, cost-efficient architecture, and actionable storytelling for stakeholders.

You will own the first lines of code and infrastructure, ingest data from AWS RDS and APIs, and design scalable ELT pipelines.