About the Role
Our client, a leader in financial technology, is seeking a Lead Data Architect to join their strategic data solutions team in Sandton . This pivotal role involves designing, developing, and maintaining scalable, robust, and efficient data architectures that power our organization's analytical and operational capabilities. You will define data standards, guide data modeling efforts, and ensure the integrity and accessibility of our data assets across various platforms. This is a hybrid role, blending essential in-office collaboration with the flexibility of remote work. We are looking for a visionary leader with a deep understanding of data management principles, cloud technologies, and best practices in data governance. You will play a crucial part in shaping our data-driven future and enabling advanced analytics for strategic decision-making.
Key Responsibilities
- Design and implement comprehensive data architectures, including data warehouses, data lakes, and data lakehouses.
- Define and enforce data modeling standards, best practices, and governance policies.
- Lead the development of data integration strategies, ETL/ELT processes, and data pipelines.
- Evaluate and select appropriate data technologies and tools to meet business requirements.
- Collaborate with business stakeholders, data engineers, and analysts to understand data needs and translate them into technical solutions.
- Ensure data quality, security, and compliance with relevant regulations.
- Provide technical leadership and mentorship to data engineering and analytics teams.
- Develop and maintain documentation for data architectures, models, and processes.
- Stay abreast of emerging trends and technologies in data architecture and management.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- A minimum of 8 years of experience in data architecture, data modeling, and data engineering.
- Proven expertise in designing and implementing large-scale data solutions using cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of various database technologies (SQL, NoSQL) and data warehousing concepts (Kimball, Inmon).
- Experience with big data technologies (e.g., Hadoop ecosystem, Spark) and data streaming technologies.
- Proficiency in data modeling tools and techniques.
- Excellent understanding of data governance, data quality, and data security principles.
- Strong leadership, communication, and stakeholder management skills.
- Experience with ETL/ELT tools and data pipeline orchestration (e.g., Airflow, Informatica).
Benefits
- Our client offers a highly competitive salary, commensurate with your expertise, and an attractive annual bonus.
- Benefits include comprehensive medical, dental, and vision insurance, a generous retirement savings plan with company matching, and ample paid time off.
- Professional development is actively encouraged through training programs, certifications, and attendance at leading data conferences.
- The hybrid work model offers a flexible balance between in-office collaboration and remote work.
- Employees have access to cutting-edge data infrastructure and tools at our Sandton office.
- Join a forward-thinking company where your contributions are valued and you can drive significant impact through robust data strategies.