Senior Snowflake Data Engineer: Scalable Cloud Pipelines

Hard Rock Hotel Cancun; Northern (KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Hard Rock Hotel Cancun is seeking a Senior Snowflake Data Engineer to design, build, and optimize enterprise data solutions that power analytics, reporting, and BI across the organization. You will construct scalable data pipelines, implement Snowflake best practices, and collaborate with data analysts, data scientists, and product teams to deliver reliable data platforms.

Experience with cloud platforms (Azure/AWS) and Python is required.

Qualifications

• 7+ years in Data Engineering or related fields.
• 5+ years hands-on Snowflake in enterprise environments.
• Experience designing and supporting large-scale data platforms.
• Proficient with cloud platforms (Azure/AWS) and Python automation.
• Strong SQL, ETL/ELT and data modeling skills.

Responsibilities

• Design, develop, and optimize scalable data pipelines using Snowflake.
• Build and maintain Data Lakes and Data Warehouses.
• Implement data quality, governance, and reliability measures.
• Collaborate with analysts, data scientists, and product teams.
• Monitor, tune, and cost-optimize Snowflake environments.

Skills

Snowflake SQL

Streams

Tasks

Virtual Warehouses

RBAC

Clustering

Performance Optimization

Advanced SQL

ETL/ELT pipelines

Python

Apache Airflow

Azure

AWS

Data Modeling

Data Warehousing

Tools

Azure Data Factory (ADF)

Apache Airflow

Azure DevOps

GitHub Actions

Databricks

Job description

Hard Rock Hotel Cancun is seeking a Senior Snowflake Data Engineer to design, build, and optimize enterprise data solutions that power analytics, reporting, and BI across the organization. You will construct scalable data pipelines, implement Snowflake best practices, and collaborate with data analysts, data scientists, and product teams to deliver reliable data platforms.

Experience with cloud platforms (Azure/AWS) and Python is required.