Data Platform Solution Architect

Overview

Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.

We are seeking an experienced Data Platform Solution Architect to lead the design and implementation of scalable, cloud-native data platforms in Basildon. 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) xwzovoh
• Experience designing Data Lakehouse architectures (Iceberg preferred)
• Expertise in performance tuning and optimisation

Nice to Have

• CI/CD and DevOps practices
• Terraform / Infrastructure as Code
• Monitoring & observability tools (APM)
• Data governance & catalog tools
• Cloud security best practices
• Data modelling and ingestion frameworks