Senior Data Engineer

PerformLine is a category-leading SaaS company that empowers leaders with end-to-end marketing compliance technology. They are seeking a Senior Data Engineer to lead the rebuilding of their data platform, architecting a modern Snowflake-based stack and designing robust data pipelines.

Responsibilities:

• Lead the rebuild of our data stack with a modern Snowflake data lakehouse, architected for scale and performance on AWS
• Design and implement best-in-class AWS data infrastructure using Terraform for provisioning, configuration, and automation
• Influence data architecture, tooling choices, and long-term strategy, ensuring alignment with business and technology needs and growth plans
• Build and optimize scalable ETL/ELT pipelines with AWS services, Python, and Airflow
• Establish and enforce rigorous standards for data quality, observability, and governance, including access control, lineage, and compliance requirements
• Prepare and evolve the data platform to support advanced analytics, AI, and machine learning use cases
• Collaborate closely with Product, Engineering, and Customer Success to deliver reliable, trusted data for analytics and reporting

Requirements:

• Hands-on Snowflake experience in production environments
• Proven experience designing and maintaining large-scale data pipelines
• Strong SQL and Python skills for data transformation and orchestration
• Experience with ETL/ELT tools like Airflow, dbt, or similar
• Familiarity with AWS cloud infrastructure
• Deep understanding of data modeling, performance optimization, and query tuning
• Experience designing data workflows, ensuring data quality, reliability, and performance