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