Data Engineer, Product AnalyticsThis candidate should have strong products experience conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.Influence product and cross-functional teams to identify data opportunities to drive impact.Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.Define and manage Service Level Agreements for all data sets in allocated areas of ownership.Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.