[Hiring] Principal Data Engineer @GoodRx

Role Description

AI is a core part of how we operate, and as a Principal Data Engineer you are expected to help define how AI is applied responsibly across our data platform and engineering practices.

• Evaluate emerging AI technologies pragmatically, identifying opportunities to improve developer productivity, platform operations, data quality, and engineering efficiency.
• Establish engineering best practices for AI-assisted development, ensuring solutions remain scalable, maintainable, secure, and aligned with GoodRx engineering standards.

Responsibilities:

• Define the long-term technical vision and architecture for the Data Platform, partnering with Product, Engineering, Data Science, and Analytics leaders to align platform investments with business strategy.
• Provide technical leadership and mentorship across multiple engineering teams, influencing architectural decisions, raising engineering standards, and developing future technical leaders.
• Lead the architectural evolution of the data platform to improve scalability, reliability, operational efficiency, and long-term maintainability.
• Drive investments in developer experience, platform tooling, CI/CD automation, observability, and self-service capabilities that improve engineering productivity and platform reliability.
• Develop architectural proposals, technical standards, and engineering design documentation that guide long-term platform strategy and evolution.
• Lead complex platform modernization initiatives, large-scale migrations, and architectural transformations with minimal disruption to the business.
• Establish organization-wide standards for data architecture, engineering quality, platform governance, and reusable engineering patterns.
• Drive long-term engineering and platform strategy through data-informed decision-making, balancing scalability, reliability, cost efficiency, and developer productivity.
• Lead enterprise-scale platform initiatives that enable analytics, machine learning, AI workloads, and scalable product development across GoodRx.

Qualifications

• 10+ years of experience in data engineering, including demonstrated experience defining technical strategy and influencing engineering organizations beyond a single team.
• Experience with one of the cloud environments - AWS, GCP.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Experience designing, building, and evolving enterprise-scale data platforms that support multiple engineering teams, analytics, and machine learning workloads.
• Ability to quickly learn complex domains and new technologies.
• Innately curious and organized with the drive to analyze data to identify deliverables, anomalies and gaps and propose solutions to address these findings.
• Experience designing data models that have been implemented in production.
• Strong experience in writing complex SQL and ETL development with experience processing large data sets.
• Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda).
• Experience evaluating and applying AI-assisted engineering tools and modern data platform technologies to improve engineering productivity and platform reliability.
• Experience with modern software development, infrastructure-as-code, containerization, and CI/CD tooling (e.g., GitHub, Docker, Terraform, CodeFresh, Jira).
• Experience contributing to full lifecycle deployments with a focus on quality and scalability.

Requirements

• Experience with session data such as Google Analytics & Segment.
• Experience related to data privacy like CCPA & GDPR (Data deletion, data de-identification, Right to forget and such).
• Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement.
• Experience with lakehouse architectures (Delta Lake, Apache Iceberg, or similar), metadata management, or enterprise data governance platforms.
• AWS/Databricks/GCP or similar certifications.

Benefits

• Medical, dental, and vision insurance.
• 401(k) with a company match.
• Employee Stock Purchase Plan (ESPP).
• Unlimited vacation.
• 13 paid holidays.
• 72 hours of sick leave.
• Mental wellness and financial wellness programs.
• Fertility benefits.
• Generous parental leave.
• Pet insurance.
• Supplemental life insurance for you and your dependents.
• Company-paid short-term and long-term disability.