🛠 Tech Stack

💼 About This Role

You'll lead the evolution of intelligent data platforms for a fintech enterprise, shaping data architecture, AI strategy, and governance. Your work will enhance customer experiences for ~20 million members and drive business value through scalable, ethical technology solutions.

🎯 What You'll Do

• Define and implement cloud-native data architecture and AI strategy.
• Lead design of scalable data pipelines and machine learning infrastructure.
• Establish governance models for data quality, lineage, and MLOps.
• Collaborate with stakeholders to align data solutions with business goals.

📋 Requirements

• 7+ years experience in data architecture and cloud-native platforms.
• Expertise in distributed data systems like Snowflake, Lake House architecture.
• Proficiency in Python, SQL, and cloud with ML deployment frameworks.
• Experience in ETL methodologies and microservice data access patterns.

✨ Nice to Have

• Experience with MongoDB or DocumentDB.
• Familiarity with AWS AI/ML stack (SageMaker, Glue, Redshift).
• Knowledge of real-time streaming (Kafka, Spark).

🎁 Benefits & Perks

• 💵 Competitive compensation
• 📚 Professional development opportunities
• 🏠 Flexible work arrangements

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min