Own the data platform architecture roadmap balancing scalability, cost, and maintainability.
Design and operate real-time data infrastructure for low-latency use cases.
Build scalable AI/ML pipelines and feature engineering systems.
Set data engineering standards and best practices across Snowflake and cloud.
Architect data quality, profiling, and schema evolution.
Mentor engineers and lead cross-functional analytics projects.

🎯 Requirements

Snowflake and data warehouse optimization.
Distributed systems, data structures, algorithms.
Production data pipelines and ETL/ELT systems.
Python and SQL with Airflow or dbt.
AWS or GCP cloud infra and IaC.
Long-term architectural decision-making and tradeoffs.
Mentoring engineers and cross-functional collaboration.
Bonus: streaming systems like Kafka or Flink.

🎁 Benefits

Disability accommodation available during application and interview.
Equal opportunity employer policy.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot