Senior Data Engineer
About The Position
PerformLine is a category-leading SaaS company that empowers leaders with end-to-end marketing compliance technology, from automated review of documents to discovery and live monitoring across consumer-facing channels including the web, calls, messaging, emails, and social media. PerformLine powers compliance at some of the world’s largest companies by proactively finding and remediating potential regulatory risks while scaling coverage and gaining efficiencies through automation. Come as you are. We are an equal opportunity workplace celebrating diversity and committed to creating an inclusive and equitable experience for all. MISSION Our mission is to empower compliance leaders with the technology and knowledge to ensure their organization and partners provide transparent and accurate information to consumers across any channel. TL;DR We’re looking for a Senior Data Engineer to take the lead on rebuilding our data platform from the ground up. As the most senior member of the data team, you’ll architect our Snowflake-based stack, design robust pipelines, and collaborate with teams across the business to drive data quality, scalability, and real-time insights. Ultimately you will be shaping how data is used across the company! You won’t be programmer #300 working on a niche backoffice tool - we act like owners to make a real impact at a scale-up company. On our team, you can expect deep technical work with company-wide visibility.
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 Think: S3, CloudTrail, Lambda, Step Functions, EventBridge, and Glue
- Deep understanding of data modeling, performance optimization, and query tuning
- Experience designing data workflows, ensuring data quality, reliability, and performance
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
51-100 employees
