Lead Personalization & Data Architect
- Compensation
- PLN 200–PLN 250 / hr
- Location
- Remote job
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Personalization Specialist Proven experience designing closed-loop personalization systems (Collect → Segment → Decide → Deliver)
- The Orchestrator Deep expertise in Customer Data Platforms (CDPs) and data routing strategies
- Decisioning Systems Experience with: Feature flagging Remote config tools Dynamic UI rendering
- Data Warehouse Fluency Strong SQL skills and experience activating user segments from a warehouse
- Mobile-First Mindset Solid understanding of: React Native architecture Performance constraints Offline-first scenarios Asynchronous data flows
Full description
Project-Based | Remote | Limited Engagement
We are looking for an experienced Lead Architect to design and shape the “Intelligence Layer” of our React Native mobile application.
This is a high-impact, short-term consulting engagement (a few hours total) focused on providing strategic architectural direction, not long-term implementation.
About the Role
You will act as the critical bridge between raw data systems and our React Native engineering team.
Your mission is to design a system that enables our developers to deliver personalized user experiences effortlessly — without requiring deep expertise in data science or CDP orchestration.
You’ll define:
- Data flow and architecture
- System “contracts”
- SDK and integration strategy
What You’ll Do
Strategy & Architecture
- Design the Data “Plumbing”
Build a scalable architecture connecting:
- Historical data (Data Warehouse)
- Real-time behavioral data (Streaming)
→ into a unified decisioning engine
- Enable Developers
Create clean technical abstractions such as:
- React Context providers
- Custom Hooks
- API wrappers
So the mobile team can easily consume personalization logic
- Own Identity Resolution
Define a cross-platform identity strategy ensuring seamless “guest recognition” across web and mobile
- Define the Tech Stack
Recommend and justify the optimal combination of:
- CDP (Customer Data Platform)
- Decisioning engine
- Analytics tools
balancing power with ease of use
- Establish Schema Governance
Create a global event taxonomy to ensure data consistency across the ecosystem
About the Project
- New initiative (greenfield architecture)
- Focused on building a personalization intelligence layer from the ground up