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Lead backend development for the Reporting & Measurement platform: architect and ship features, design relational and non-relational data models, scale distributed systems, collaborate with Data Science and Product, drive technical architecture decisions, mentor junior engineers, and conduct peer reviews.

Lead backend development for Reporting & Measurement: architect and ship features, design relational and non-relational data models, scale distributed systems, mentor junior engineers, drive architecture discussions, and collaborate with Data Science and Product to deliver high-impact initiatives.

Lead architecture and development of backend features for reporting and measurement. Mentor engineers, design relational and non-relational data models, build and scale distributed systems, collaborate with Data Science and Product, and drive technical architecture and code quality.

Design and ship measurement and reporting features from discovery through high-fidelity execution. Conduct UX research, create flows, wireframes, prototypes, and data visualizations. Collaborate with PMs and engineers, iterate with user feedback, and contribute to the Tatari Design System.

Design and ship data-heavy product features from discovery through high-fidelity execution. Conduct UX research and testing, create flows, wireframes, mocks, and prototypes (including interaction details), translate complex measurement data into accurate visualizations, collaborate closely with PMs and engineers, and contribute to the Tatari Design System.

Design and ship measurement and reporting features from discovery through high‑fidelity execution. Conduct UX research, create flows, wireframes, prototypes, and data visualizations. Partner with PMs and engineers, iterate within technical constraints, and contribute to the Tatari Design System.

Design, build, and own large-scale ETL pipelines to produce production-grade analytics datasets. Translate requirements into specs, implement and validate data products, ensure data quality, debug distributed systems, and collaborate cross-functionally with data science, backend, frontend, and product teams for production rollouts.

Design, build, and operate large-scale ETL pipelines to turn high-volume raw data into production-grade datasets for reporting and measurement. Own data products end-to-end from requirements through implementation, validation, and production rollout, collaborating with data science, backend/frontend engineers, and product. Ensure data quality, performance tuning, and operational reliability.

Design, build, and operate large-scale ETL pipelines on Databricks/Delta Lake to produce curated analytics datasets. Collaborate with data science, backend/frontend engineers, and product from requirements through production, ensuring data quality, validation, performance tuning, and incident resolution.

The Client Services Manager will manage post-sales relationships and campaign execution for SMB clients, optimizing performance through strategies focused on CPA, CAC, and ROAS, and building strong client relationships.