Senior Data Architect

About The Role

Kunai is seeking a forward-thinking Senior Data Architect to lead the evolution of intelligent platforms across their enterprise customer division. This position will champion strategic initiatives leveraging data, analytics, and artificial intelligence to enhance customer experiences for approximately 20 million members, optimize operations, and drive business value through scalable and ethical technology solutions. You will shape the company's data architecture, artificial intelligence strategy, and governance models, enabling automation, machine learning operations (MLOps), and insights. The ideal candidate brings deep technical expertise and an innovative mindset to accelerate the journey toward becoming a data-powered organization. You will work closely with business and technology partners to deliver modern, secure, and adaptive data ecosystems and AI solutions, contributing to the transformation by establishing a future-ready data foundation.

Required Qualifications

• 7+ years of experience in leading data architecture initiatives, including cloud-native data platforms, machine learning lifecycle management, and enterprise data integration.
• Expertise in distributed data systems, data warehouse, Lake House architecture, and model operationalization frameworks such as MLflow, SageMaker, or similar.
• Proficiency in Python, SQL, Snowflake, and cloud, with experience deploying ML models using containers, APIs, or serverless frameworks.
• Proficiency in logical and physical data modeling, multidimensional modeling, normalization, and denormalization techniques.
• Experience in building data systems in microservice environments that provide access to data for operational and BI needs.
• Proficiency in design and development of ETL methodologies from source to target supporting data processing and transformations to deliver data-driven business insights and decisions.
• Familiarity with data observability tools, CI/CD for ML, and lineage/trust frameworks.
• Comfortable working in agile environments and guiding architecture for Agile Release Trains (ART).

Preferred Qualifications

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

Company Culture & Benefits

Kunai's success over the past 20 years is rooted in its exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. They offer competitive compensation, professional development opportunities, and flexible work arrangements. The company is committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.

Minimum Degree Required

Bachelor’s Degree. In lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required.

Key skills/competency

• Data Architecture
• Cloud-Native Data Platforms
• Machine Learning Lifecycle Management
• Enterprise Data Integration
• Distributed Data Systems
• Data Warehouse & Lake House Architecture
• Model Operationalization (MLOps)
• Python & SQL
• Snowflake
• Data Modeling