Snowflake Architect

Intellinexus; Cape Town; Remote; ZAR 800 000 - 1 200 000; Full time

Job summary

A business intelligence consultancy is seeking a Data Architect to lead the design and development of cloud data architecture. This role requires Snowflake expertise and a strong background in data modeling and governance. The ideal candidate should have a Bachelor’s or Master’s degree, along with proven experience in data architecture, particularly with Snowflake. This position supports remote and hybrid work options.

Benefits

Career development support

Exposure to diverse technologies

Flexible work opportunities

Qualifications

• Snowflake certification required (SnowPro Core or Advanced Architect).
• 5+ years of experience in data architecture roles, 2+ years with Snowflake hands-on.
• Experience in Agile or DevOps environments.

Responsibilities

• Design and implement scalable data architectures using Snowflake.
• Lead migration of legacy data systems to cloud-based solutions.
• Optimize Snowflake performance and enforce data governance.

Skills

Snowflake expertise

SQL proficiency

Data modeling

Knowledge of ETL/ELT tools

Data governance frameworks

Education

Bachelor's or Master's degree in relevant field

Tools

dbt

Snowflake

Tableau

Power BI

Job description

Introduction

Intellinexus is a business‑led data and business intelligence consultancy that empowers organisations with data‑driven decision‑making capabilities.

We combine innovation and expertise with access to the best talent to help organisations become smarter, more agile, and more resilient to the changes in their operating environments.

Our expert teams apply a mastery of data and technology to craft strategies that revolutionise business decision‑making, and give organisations access to real‑time, actionable insights into the performance of their business.

For more information, please visit What do we offer?

We offer both remote and hybrid work opportunities Intellinexus is an SME, therefore you get a lot of exposure to different technologies, solutions and techniques during projects.

Intellinexus supports career development and growth of its employees, therefore time and money is invested to grow their consultants in their careers.

Overall purpose of the role

We are seeking an experienced Data Architect with strong expertise in Snowflake to lead the design, development, and optimization of our cloud data architecture. This role will be responsible for ensuring data is accessible, secure, scalable, and aligned with business goals. The ideal candidate will have deep knowledge of data modeling, cloud data platforms, and modern data warehousing strategies, with a proven track record of delivering enterprise‑grade data solutions.

Duties & Responsibilities

• Design and implement scalable data architectures using Snowflake.
• Develop and maintain enterprise data models (conceptual, logical, and physical).
• Lead the migration of legacy data systems to cloud‑based solutions, particularly Snowflake.
• Define and enforce data governance, data quality, and data security policies.
• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements.
• Optimize Snowflake performance (storage, compute, cost).
• Implement data integration strategies using ETL / ELT tools (e.g., dbt, Informatica, Matillion, Fivetran).
• Create and maintain documentation related to data architecture, standards, and best practices.
• Mentor team members and provide technical leadership in data architecture and Snowflake usage.

Desired Experience & Qualification

• Snowflake certification (SnowPro Core or Advanced Architect).
• Experience with dbt, Airflow, Fivetran, or similar tools.
• Familiarity with DataOps or CI / CD pipelines for data infrastructure.
• Experience in Agile or DevOps environments.
• Exposure to BI tools like Tableau, Power BI, or Looker.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in data architecture roles 2+ years of hands‑on experience with Snowflake.
• Strong experience in cloud platforms (AWS, Azure, or GCP), especially Snowflake deployments.
• Proficiency in SQL, data modeling (Dimensional, Star / Snowflake schema), and data warehousing concepts.
• Knowledge of ETL / ELT tools and orchestration frameworks.
• Experience with data pipeline design, real‑time and batch processing.
• Familiarity with data governance frameworks (e.g., data catalogues, lineage tools).
• Strong understanding of security and compliance in cloud data environments (e.g., RBAC, masking, encryption).

Interested?