Opportunity We are looking for a highly skilled Senior Data Engineer to join our data team. This role is ideal for someone with deep experience in cloud‑native data engineering (preferably AWS) and the flexibility to work across a variety of platforms, tools, and business use cases, especially in marketing, billing, and customer lifecycle analytics. You’ll work with complex data sources such as Zuora, RevenueCat, Salesforce, and affiliate platforms, bringing them into a unified, trusted data layer and partnering closely with Martech, BI, and business teams to ensure data is accurate, usable, and aligned with business needs. Key Responsibilities Own the design and architecture of scalable data pipelines and data models using AWS services such as S3, Glue, Redshift, Athena, Lambda, and Step Functions. Build and optimize ETL/ELT workflows using APIs, SFTP, and third‑party integrations. Integrate data from Salesforce, Zuora, RevenueCat, affiliate platforms, and legacy systems. Define and implement data modeling standards (star schemas, warehouse best practices). Structure subscription data (MRR, churn, entitlements, refunds, LTV) to support attribution, performance, and revenue analytics. Collaborate with Martech, Finance, and Product teams to translate requirements into clean, reusable datasets. Prepare datasets for BI tools such as QuickSight, Looker, Tableau and support reporting use cases. Ensure data quality and reliability through monitoring, alerting, logging, and validation checks. Identify and resolve pipeline issues at the root cause and improve system stability. Implement CI/CD and version control practices using Git and related tools. Mentor and guide junior engineers on best practices and implementation. Qualifications 5+ years of experience in data engineering. Deep experience with AWS data services (Redshift, Glue, Athena, Transfer Family, S3, EventBridge, Lambda, CodeBuild, IAM, etc.). Strong Python and SQL skills (complex queries, transformations, optimization). Hands‑on experience building pipelines using APIs, file ingestion (SFTP), and third‑party integrations. Strong understanding of data modeling and data warehouse design (Kimball or similar). Experience working with relational databases (PostgreSQL, MySQL, Redshift). Familiarity with CI/CD workflows and version control (Git). Experience working with subscription or SaaS metrics (MRR, churn, LTV, etc.). Nice to Have Experience with Zuora, RevenueCat, Salesforce, or similar platforms. Exposure to BI tools (QuickSight, Looker, Tableau). Experience supporting marketing attribution and lifecycle analytics. Experience with data testing or validation frameworks. Knowledge of data governance, privacy, and security best practices in enterprise environments. Ziff Davis is an Equal Opportunity Employer. If you have a disability or learning difficulty that requires accommodation, please let us know. #J-18808-Ljbffr