Data Architect Market related

Parvana; Cape Town; Presencial; ZAR 900 000 - 1 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Resumo da oferta

Parvana in Cape Town seeks a Senior Data Architect to shape data architecture and collaborate with business stakeholders. You will craft data models, select storage solutions, and lead data governance initiatives to ensure quality and security across the organization.

The role requires extensive experience with SQL, Python, and modern data platforms, including Snowflake and Spark, in a cloud environment (AWS, GCP, Azure). Hybrid work and agile collaboration are expected.

Qualificações

• Bachelor's degree in Computer Science, Information Systems, or Business Management, or equivalent certification.
• 10 years of extensive experience in data migration, integration, and ETL processes.
• Familiarity with modern data platforms and technologies (e.g., serverless computing, microservices).
• Proficiency in SQL and Python for data manipulation.
• Experience with both SQL and NoSQL data storage.
• Familiarity with data processing frameworks like Snowflake, Databricks, or Apache Spark.
• Hands-on experience with cloud-based data platforms (AWS, GCP, Azure).
• Strong understanding of data architecture principles.
• Expertise in data modelling and database design.
• Understanding of data governance, quality, and security regulations.

Responsabilidades

• Join forces with business stakeholders to shape data architecture and requirements collaboratively.
• Craft data models and schemas tailored to meet business objectives.
• Assess and choose appropriate data storage solutions, including relational databases, data warehouses, data lakes, and NoSQL databases.
• Lead the implementation of data governance policies and standards.
• Uphold data quality and integrity across the organisation.
• Ensure adherence to data security and privacy regulations.
• Share data architecture strategies with both technical and non-technical stakeholders in a clear and engaging manner.
• Contribute to strategic planning and technology selection for data and analytics initiatives.

Conhecimentos

Data architecture

SQL

Python

Data modelling

NoSQL

Cloud platforms

Formação académica

Bachelor's degree in Computer Science / Information Systems / Business Management

Ferramentas

Snowflake

Databricks

Apache Spark

AWS

GCP

Azure

Descrição da oferta de emprego

Duties & Responsibilities

About our client:

Highly innovative organisation which only employs the best. Their focus is on continual learning, constantly adapting and keeping ahead of the market. The focus is on R&D, you will have the opportunity to work on new projects (no boring legacy systems) and to work with some of the best in the industry. This is an agile environment, good communication skills are essential as is the ability to collaborate with other subject matter experts.

What you will be doing:

• Join forces with business stakeholders to shape data architecture and requirements collaboratively.
• Craft data models and schemas tailored to meet business objectives.
• Assess and choose appropriate data storage solutions, including relational databases, data warehouses, data lakes, and NoSQL databases.
• Lead the implementation of data governance policies and standards.
• Uphold data quality and integrity across the organisation.
• Ensure adherence to data security and privacy regulations.
• Share data architecture strategies with both technical and non-technical stakeholders in a clear and engaging manner.
• Contribute to strategic planning and technology selection for data and analytics initiatives.

What you need:

• Bachelor's degree in Computer Science, Information Systems, or Business Management, or equivalent certification.
• 10 years of extensive experience in data migration, integration, and ETL processes.
• Familiarity with modern data platforms and technologies (e.g., serverless computing, microservices).
• Proficiency in SQL and Python for data manipulation.
• Experience with both SQL and NoSQL data storage.
• Familiarity with data processing frameworks like Snowflake, Databricks, or Apache Spark.
• Hands-on experience with cloud-based data platforms (AWS, GCP, Azure).
• Strong understanding of data architecture principles.
• Expertise in data modelling and database design.
• Understanding of data governance, quality, and security regulations.

Job ID: J104476