Lead data engineer

Description

Position at VIPRE Security Group

The 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), 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, Revenue Cat, 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, Revenue Cat, 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 (Quick Sight, 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, Event Bridge, Lambda, Code Build, 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 (Postgre SQL, My SQL, Redshift) Familiarity with CI/CD workflows and version control (Git) Experience working with subscription or Saa S metrics (MRR, churn, LTV, etc.)

Nice to Have

Experience with Zuora, Revenue Cat, Salesforce, or similar platforms Exposure to BI tools (Quick Sight, 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.

Benefits

Competitive salaries Health and wellness‐focused benefits Paid time off Work‐life balance

Compensation Range

Ziff Davis provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is 800,000 MXN to 1,100,000 MXN. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

Equal Opportunity Employer

Ziff Davis is an Equal Opportunity Employer. At Ziff Davis, Diversity, Equity, and Inclusion (DEI) has always been about fairness, equal opportunity, and belonging. DEI enables us to attract and retain the best talent, regardless of background or circumstances, while enabling our thousands of employees worldwide to thrive. If you have a disability or learning difficulty that requires accommodation, please let us know by sending an email to J2 HREU@ #J-18808-Ljbffr