Senior Data Architect

Kunai

Remote, United States
**
7+ years leading data architecture initiatives
Cloud-native data platforms and lake house architecture
Python sql snowflake and distributed data systems
** Kunai is seeking a Senior Data Architect to lead the development of intelligent platforms for their enterprise customer division, focusing on optimizing data utilization and enhancing customer experiences. The ideal candidate should have extensive experience in data architecture, machine learning, and cloud-native platforms. **

Job Summary

  • Kunai builds full-stack technology solutions for banks, credit networks, and infrastructure providers to modernize financial services.
  • The role involves shaping data architecture and AI strategy to enhance customer experiences for approximately 20 million members.
  • Employees benefit from competitive compensation, professional development opportunities, and flexible work arrangements in a collaborative culture.

Matching Summary

Match Score: 75

** Kunai is seeking a Senior Data Architect to lead the development of intelligent platforms for their enterprise customer division, focusing on optimizing data utilization and enhancing customer experiences. The ideal candidate should have extensive experience in data architecture, machine learning, and cloud-native platforms. **

Skills & Requirements

Must-have

  • 7+ years leading data architecture initiatives
  • Cloud-native data platforms and Lake House architecture
  • Python SQL Snowflake and distributed data systems
  • Machine learning lifecycle management and MLOps
  • Logical and physical data modeling techniques
  • ETL methodologies and microservice data access
  • Data observability CI/CD for ML and lineage

Nice-to-have

  • Experience with MongoDB or DocumentDB
  • AWS AI/ML stack including SageMaker and Bedrock
  • Real-time streaming analytics with Kafka and Spark
  • Agile Release Train (ART) architecture guidance
  • Ethical technology solutions and human-centered design

Key Requirements

  • Bachelor's Degree or equivalent specialized training experience
  • 7+ years of experience in data architecture leadership
  • Proficiency in deploying ML models using containers and APIs

Work Rights

Not specified

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