Job Description
Our client is a high-scale global consumer platform serving millions of users daily. They are rebuilding their data foundation as an AI-native platform to power the next generation of programmatic advertising, personalized discovery, and marketplace intelligence.
We are hiring a hands-on Staff / Lead Data Engineer (AI-Native) to architect petabyte-scale systems that feed real-time bidding, recommendation models, and LLM-powered analytics products.
Role Mandate: 80% Hands-on Engineering / 20% Technical Leadership
Key Responsibilities:
1. Data Platform Architecture (Core)
- Design and build enterprise Lakehouse architecture (Batch + Real-time) using Spark, Flink, Kafka, Paimon / Hudi, BigQuery
- Own end-to-end ETL / ELT frameworks, data modeling, metrics layer, and unified data services
- Replace fragmented analytics (GA etc) with unified attribution, conversion tracking and marketing intelligence platform
- Implement data governance, data quality, SLA frameworks (target 98%+), cost optimization
2. Marketing & Growth Engineering
- Build large-scale marketing data platform serving Growth, Affiliate, User Acquisition, Marketing Automation
- Design platform-level analytics abstraction for multi-region campaign management, attribution, user growth analytics
- Integrate Marketing APIs (Google, Meta, TikTok) and build RTB / ad delivery data pipelines
3. AI & Agent Development
- Build LLM-based Data Assistant / Marketing Performance Agent using RAG, Vector Search, Function Calling
- Develop reusable Agent framework: orchestration, tool calling, MCP integration, prompt/context management, evaluation
- Collaborate with ML team to optimize feature pipelines and LTV / ROI prediction models
Tech Stack We Expect You to Own:
Who You Are:
- 8+ years in Data Platform / Infra platform team
- Proven track record building a company-level data platform from 0-1 (not just using it)
- Strong in distributed systems, data warehouse modeling, and real-time pipelines
- Experience in AdTech / Growth / Marketing Tech is a major plus – RTB, attribution, acquisition
- Bonus: Hands-on with LLM Agents, RAG, Gemini / GPT, Agent Frameworks
More Info
Key Skills
Meta
Flink
Vector Search
Hudi
Paimon
Marketing APIs
LLM-based Data Assistant
TikTok
feature pipelines
LTV ROI prediction models
MCP integration
RTB ad delivery
RAG
Function Calling
