Senior Data Architect

Kunai

About The Position

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. 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.

Requirements

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.

Nice To Haves

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

Responsibilities

Lead the evolution of intelligent platforms across our enterprise customer division.
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.
Shape our data architecture, artificial intelligence strategy, and governance models, enabling automation, machine learning operations (MLOps), and insights.
Work closely with business and technology partners to deliver modern, secure, and adaptive data ecosystems and AI solutions.
Contribute to our transformation by establishing a future-ready data foundation.
Guiding architecture for Agile Release Trains (ART).