Chief Data Architect

1 month ago

Cape Town, Western Cape, South Africa Creative CFO Full time
Job Overview

We are seeking a highly skilled Data Systems Engineer to join our team at Creative CFO. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining scalable data management systems.

Our company provides innovative financial solutions to high-growth businesses, and we need someone with expertise in data analysis tools and languages such as SQL, R, and Python to help us drive business growth through data-driven decision-making.

About the Role

In this role, you will work closely with our data analysts, data scientists, and other stakeholders to assist with data-related technical issues and support their data infrastructure needs.

You will also collaborate with our data analytics and BI teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organisation.

Key Responsibilities
  • Design, construct, install, test, and maintain highly scalable data management systems.
  • Ensure systems meet business requirements and industry practices.
  • Develop batch processing and real-time data streaming capabilities.
  • Read, extract, transform, stage, and load data to selected tools and frameworks as required.
  • Work closely with data analysts, data scientists, and other stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Collaborate with data analytics and BI teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organisation.
Requirements

To be successful in this role, you will need:

  • Bachelor's degree in Statistics, Data Science, Computer Science, Information Technology, or Engineering.
  • Minimum of 2 years of professional experience in a Data Engineering role, with a proven track record of successful data infrastructure projects.
  • Proficiency in data analysis tools and languages such as SQL, R, and Python.
  • Strong knowledge of data modeling, data access, and data storage techniques.
  • Proficiency in at least one of Microsoft Azure, Google Cloud Platform/Engine, or AWS Lambda environments.
  • Familiarity with data visualisation tools such as PowerBI, Pyramid, and Google Looker Studio.
  • Excellent analytical and problem-solving skills.
  • Effective communication skills to convey technical findings to non-technical stakeholders.
Estimated Salary Range

The estimated salary range for this position is $90,000 - $120,000 per annum, depending on experience.

Benefits

We offer a range of benefits, including:

  • A dynamic and rapidly expanding team environment.
  • An opportunity to work with a cutting-edge technology stack.
  • A comprehensive training program to support your professional development.
  • A hybrid work setup, with currently one in-office day per month.

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