Design, build, and operate robust, fault-tolerant, and observable data pipelines using Airflow and modern ELT best practices
Architect, enhance and improve data ingestion, AWS data infrastructure, including Redshift, S3 and monitoring
Partner with Analytics, Product, Finance, Marketing, and Content teams to design canonical, analytics-ready datasets that power key metrics such as growth, engagement, retention, and revenue
Define, implement, and enforce SLAs, data quality checks, observability, and alerting for production data systems. Take shared ownership of data platform reliability, participating in on-call rotations and driving root-cause fixes for incidents
Contribute to design reviews, raising engineering quality, and sharing best practices
Evaluate and introduce data tooling that improves reliability, developer productivity, and analytics velocity
Collaborate deeply with cross functional teams to align event design, source systems, and data contracts

Requirements

7+ years of experience in Data Engineering, with ownership of production data platforms at scale
Deep expertise designing and operating Airflow, AWS-based data platforms, including Redshift, S3, IAM, and related services in complex production environments
Advanced proficiency in SQL and Python, with strong data modeling and systems design skills
Strong understanding of distributed data processing, modern ELT architectures, analytics workflows and BI use cases, and experience partnering closely with Analytics and business stakeholders.
AI tools knowledge that includes an understanding of prompt engineering and familiarity with modern AI technology stacks
Strong communication skills, with the ability to lead technical discussions, influence architecture, and drive initiatives across teams

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringAirflowAWSRedshiftS3SQLPythondata modelingdistributed data processingELT architectures

Soft Skills

communicationleadershipcollaborationinfluenceproblem-solving