Senior Data Engineer – Snowflake, CDP

This is a fully remote position, open to applicants in India.

📋 Description

• Design and maintain data models in Snowflake that facilitate customer engagement, reporting, and audience activation.

• Construct and enhance customer-level data structures for segmentation, personalization, and lifecycle marketing.

• Convert customer engagement requirements into scalable models in Snowflake and schemas that are ready for Customer Data Platforms (CDP).

• Develop and uphold pipelines that synchronize customer data with Braze, Hightouch, and various downstream tools.

• Collaborate with identity resolution, consent frameworks, event tracking, and the unification of customer profiles.

• Assist clients in creating comprehensive customer 360 views and enhancing audience readiness across multiple channels.

• Improve Snowflake's performance, cost-effectiveness, and scalability when handling large datasets.

• Ensure the quality, governance, and compliance of customer-facing data models.

• Work closely with CRM, CDP, analytics, and marketing teams to validate that data supports business objectives.

⛳️ Requirements

• Extensive expertise in Snowflake, covering architecture, modeling, optimization, and performance tuning.

• Significant experience with customer data platforms, identity resolution, and the design of customer profiles.

• Background in supporting CRM and customer engagement platforms, including Braze, Salesforce Marketing Cloud, Bloomreach, or Adobe Campaign.

• Strong understanding of customer events, user attributes, audience segmentation, and lifecycle marketing applications.

• Familiarity with reverse ETL tools like Hightouch or Census.

• Proficient in SQL and dbt, with the capability to create scalable, customer-centric data models.

• Knowledge of consent management, privacy frameworks, and governance of customer data.

• Experience with multi-channel customer engagement data across email, push notifications, SMS, web, and app platforms.

• Ability to explain complex customer data concepts to both technical and non-technical audiences.

• Preferred: Experience in implementing or supporting Customer Data Platforms such as Segment, mParticle, Tealium, or RudderStack.

• Familiarity with predictive modeling, AI-driven segmentation, or propensity scoring.

• Experience with customer datasets from loyalty programs, retail, QSR, financial services, or subscription models.

• Understanding of Braze data structures, Currents, custom events, and Connected Content.

🏝️ Benefits

• Rocket‑Fuelled Growth – Big challenges, fast learning, and the opportunity to advance quicker than anywhere else.

• A Culture That Actually Gives a Damn – Supportive, positive environment built around individuals who want to see you succeed.

• A Global Crew – Collaborate with talented teammates from Europe, the US, and beyond.

• Remote‑First for Life – Work from wherever you feel most productive.

• Real Career Momentum – Clear pathways for progression, genuine ownership, and room to grow into your next chapter.

• Moments That Matter – Engaging meetups, events, and team experiences that make the journey memorable.