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 concepts and their integration into data architectures

Design and Lifecycle Management • Proven experience designing modern, scalable, and resilient data architectures • Strong understanding of the full data architecture lifecycle from concept to deployment and consumption

Data Management and Governance • Strong knowledge of data management principles and best practices • Experience implementing data governance frameworks • Understanding of data security and compliance requirements including GDPR, CCPA, HIPAA, or similar regulations

Leadership and Communication • Strong leadership capability to guide and manage architects and technical specialists • Excellent communication and interpersonal skills • Proven ability to influence architectural decisions and guide best practices with stakeholders and clients

Project and Stakeholder Management • Experience working within agile delivery frameworks including SAFe, Scrum, and Kanban • Ability to manage budgets, timelines, and resources while maintaining focus on architectural outcomes

Qualifications • Matric and a bachelors degree in Business Administration, Information Systems, or a related field • SAFe or Scrum certification preferred

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