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

Originally posted on Himalayas