About the Role
You'll go beyond dashboards, tagging requests, or tool administration. You'll architect the data foundation that powers acquisition, engagement, retention, and monetization — designing tracking, integrations, and governance frameworks that keep marketing and product data reliable, actionable, and scalable. Your work will directly shape how CloudWalk uses data to drive growth, turning complex ecosystems into clear, consistent, and intelligent decision-making engines. You'll be part of a team that connects Marketing, Product, and Data through measurement strategy, lifecycle enablement, experimentation, and automation. If you enjoy building structured data systems, improving how teams activate data, and creating agents that make analysis and validation smarter, this role is for you.
Requirements
- Strong SQL skills and analytical depth, with the ability to navigate large datasets and translate business questions into structured analysis
- Clear, structured thinking — able to break down problems into hypotheses, design analyses, and turn results into actionable insights
- Solid understanding of data quality, tracking, and metric definitions, with a high bar for consistency and reliability across tools
- Experience with Martech ecosystems (e.g. CDPs, product analytics, engagement platforms) and event-driven data models
- Ownership mindset with strong communication skills, able to work cross-functionally with Marketing, Product, and Engineering and drive initiatives end-to-end
Responsibilities
- Design and own the event tracking architecture across web, app, and backend, defining event structures, properties, and naming conventions, and ensuring proper implementation with Product and Engineering
- Manage the end-to-end data flow across tools like RudderStack, Amplitude, and Iterable, ensuring events are correctly collected, transformed, validated, and consistently available across all destinations
- Establish and enforce data governance, including taxonomy, validation, monitoring, and alerting, to prevent data drift and guarantee reliable, decision-ready data
- Partner with Marketing and CRM teams to enable segmentation, lifecycle campaigns, personalization, and experimentation, while defining and maintaining core metrics such as activation, retention, and LTV
- Evaluate and implement Martech tools and integrations, and build automated workflows and intelligent agents to validate data, generate analyses, and surface insights, continuously improving data quality, scalability, and cost efficiency