Data Architecture Lead
2 days ago
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 OverviewAt 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.
- 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.
- 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.
- 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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