We’re looking for a self-motivated, hands-on Data Architect with a deep background in AI and machine learning to design and evolve our next-generation data platform. This role is central to building the data and AI backbone that serves both our Business Intelligence (BI) teams and our Core Product engineering groups.
Requirements
- 8+ years of experience in data architecture, data engineering, or AI platform design.
- Proven experience building the end-to-end stack for AI-driven data insights — from raw data ingestion to model inference and insight delivery.
- Strong background in cloud-native data ecosystems (AWS, GCP, or Azure).
- Proficiency in Python, SQL, and modern data tools (Snowflake, Spark, dbt, Kafka, Airflow, etc.).
- Deep understanding of AI/ML workflows — feature stores, vector databases, model training, and deployment pipelines.
- Track record of building and validating POCs that successfully informed scalable architecture decisions.
- Excellent communication skills and ability to collaborate across data, AI, and engineering teams.
Benefits
- A hybrid work culture built on collaboration
- Monthly office events and quarterly team events/outings
- Paid maternity & paternity leave to support you at every stage of life
- Employee term life insurance, family medical cover + optional subsidized parental medical cover
- Flexi Benefits Plan for tax saving plus we offer Corporate NPS
- Employee Resource Groups where you’ll connect, belong, and thrive
- Be part of a fast-growing SaaS company redefining what’s possible with AI