The Opportunity:
We are looking for a highly skilled Senior Data Engineer to join our data team. This role is idóneo for someone with deep experience in cloud‑native data engineering (preferably AWS), combined with 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 like Zuora, RevenueCat, Salesforce, and affiliate platforms, and bring them into a unified, trusted data layer. You’ll partner 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 (S3, Glue, Redshift, Athena, Lambda, 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 (e.g., 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 (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

Job 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, tr

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