Senior Data Engineer - Data Platform & Governance

LucyRx; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

LucyRx is seeking a Senior Data Engineer to design and optimize large-scale data architectures and data pipelines. You will mentor junior teammates, ensure data quality, and participate in governance meetings while leveraging Snowflake on Azure and Databricks in a remote-first setup.

The role requires 10+ years of data engineering experience, strong SQL and Python skills, and deep knowledge of data warehousing concepts, ETL tools, and data governance.

Qualifications

• 10+ years of data engineering experience
• Proficient in SQL, Python, dimensional modeling, and data pipeline design
• Experience designing scalable systems and strong knowledge of data governance
• Familiarity with data warehousing concepts and ETL tools
• Experience with Snowflake Snowpark, Azure Data Factory and Databricks
• Experience implementing and maintaining Snowflake on Azure
• Excellent communication and team collaboration abilities

Responsibilities

• Design and implement large-scale data architectures and optimize data pipelines daily
• Monitor data quality and integrity through regular audits and validation processes
• Mentor junior team members in troubleshooting and best practices during daily check-ins
• Participate in routine data governance and compliance meetings

Skills

SQL

Python

Dimensional modeling

Data pipeline design

Snowflake Snowpark

Azure Data Factory

Databricks

Data governance

Data warehousing concepts

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Snowflake on Azure

ETL tools

Job description

LucyRx is seeking a Senior Data Engineer to design and optimize large-scale data architectures and data pipelines. You will mentor junior teammates, ensure data quality, and participate in governance meetings while leveraging Snowflake on Azure and Databricks in a remote-first setup.

The role requires 10+ years of data engineering experience, strong SQL and Python skills, and deep knowledge of data warehousing concepts, ETL tools, and data governance.