We are seeking an experienced Data Platform Solution Architect to lead the design and implementation of scalable, cloud-native data platforms. This role will focus on building modern lakehouse architectures leveraging AWS and Snowflake, ensuring high performance, reliability, and governance across enterprise data ecosystems.
Key Responsibilities
Design and deliver end-to-end data platform architecture using Snowflake, AWS, and modern lakehouse principles
Produce high-quality Architecture Design Documents (ADDs) and technical blueprints
Architect and optimise data pipelines using Airflow / MWAA and dbt
Define and implement data lakehouse solutions using Apache Iceberg and S3
Lead performance tuning across Snowflake, Airflow, and Iceberg environments
Ensure platform reliability, observability, and scalability
Drive adoption of cloud-native design patterns and best practices
Collaborate with engineering, DevOps, and business stakeholders
Requirements
Strong experience in Solution Architecture for data platforms
Deep expertise in Snowflake architecture
Hands-on experience with Airflow / MWAA and dbt
Strong knowledge of AWS data services (S3, EMR, PySpark)
Expertise in performance tuning and optimisation
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