Data Solutions Architect

Summary of the Role Data Solutions Architect to work within a dynamic, remote-first data architecture capability delivering cloud-based data solutions Responsible for designing and delivering solutions using RDBMS, ETL and ELT, and cloud platforms for blue-chip clients across multiple sectors Lead cross-functional teams including Data Engineers, Architects, Business Analysts, and QA Analysts in an Agile environment Own end-to-end technical delivery, stakeholder engagement, and solution quality Experience and Leadership Proven experience in data architecture in a senior or lead role Demonstrated experience leading architectural design and strategy for complex data solutions using Snowflake Experience overseeing end-to-end delivery of enterprise data platforms Background in consulting environments delivering custom data architecture solutions Experience within the insurance sector considered an advantage Architectural Expertise Strong expertise in designing and delivering end-to-end data solutions including data warehousing, pipelines, and analytics using Snowflake Experience applying Data Mesh and Data Fabric architectural patterns Proven ability to develop data product strategies with a product-led mindset Extensive experience across cloud platforms including Snowflake, AWS, Azure, and GCP Experience integrating Snowflake with cloud services and big data tools Strong understanding of cloud infrastructure and its impact on data architecture Data Technology Skills Deep hands-on experience with Snowflake features, capabilities, and best practices Strong understanding of data modelling principles and techniques Solid knowledge of big data technologies such as Apache Spark Working knowledge of Hadoop ecosystems Experience with programming languages such as Python, R, or Java Knowledge of ETL and ELT processes including DBT Experience with SQL and NoSQL databases Exposure to data visualisation tools and DevOps principles and tools Familiarity with machine learning and AI