Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.

About the Role

We are seeking a forward-thinking Data Architect to lead the evolution of intelligent platforms across our enterprise customer division. This position will champion strategic initiatives leveraging data, analytics, and artificial intelligence to enhance customer experiences across ~20 million members, optimize operations, and drive business value through scalable and ethical technology solutions. You will shape our 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 our 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. You will contribute to our 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). Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain 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