Data Architecture Lead

2 days ago


Johannesburg, Gauteng, South Africa ALOS Innovative Workforce Solution (Pty) Ltd Full time
About ALOS Innovative Workforce Solution (Pty) Ltd

We are a leading provider of innovative workforce solutions, and we are seeking an experienced Data Architecture Lead to join our team.

Estimated Salary:

R1,200,000 per annum, depending on experience.

Job DescriptionCompany Overview

At ALOS Innovative Workforce Solution (Pty) Ltd, we pride ourselves on delivering cutting-edge workforce solutions that meet the evolving needs of our clients. As a Data Architecture Lead, you will play a key role in shaping our data architecture strategy and ensuring that our solutions are data-driven and scalable.

Key Responsibilities
  • Design advanced conceptual, logical, and physical data organizations, models, repositories, dashboards, and reports within a complete functional and technical architecture.
  • Develop and implement advanced statistical models and machine learning algorithms to solve business problems.
  • Partner with other architects, infrastructure, and software experts to define metadata layers, technical strategy, and optimal integration within existing client IT landscapes.
  • Translate technical designs into solutions, review proposed solutions, and optimize them when required.
Project Leadership
  • Lead data projects from conception to deployment.
  • Coordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery.
  • Define project scope, goals, and deliverables that support business objectives.
Qualifications
  • Masters or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • 5+ years of experience in data architecture, data engineering, or a related field.
  • Proven experience leading data projects and managing teams.
  • Extensive experience with big data platforms (cloud and on-premise), data modeling, data analysis, statistical modeling, and machine learning.
Technical Skills
  • Proficiency in programming languages such as Python, R, or Scala.
  • Expertise in data processing frameworks like Apache Spark, Hadoop, or similar.
  • Proficiency with data modeling tools.
  • Strong SQL skills and experience with relational and NoSQL databases.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.

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