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
Desired Skills:
- Communications
- Computer
- Project and Stakeholder Management