Data Architect

Indsafri; South Africa; Híbrido; ZAR 1.200.000 - 2.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary and bonuses

Health, dental, and vision insurance

Paid time off and holidays

Professional development opportunities

401(k) retirement plan with company

Flexible working hours

Remote work option

Access to cloud technologies

Collaborative team culture

Descripción de la vacante

Indsafri India Private Limited is seeking a Lead Data Architect to join our strategic data solutions team in Sandton. You will design, develop, and maintain scalable data architectures that power analytics and operations, define data standards, and guide modeling efforts across multiple platforms.

The role requires 8+ years in data architecture, deep cloud expertise (AWS/Azure/GCP), strong knowledge of SQL/NoSQL, data governance, and leadership to mentor data engineers and analysts.

Formación

• Bachelor's or Master's degree in CS/IT or related field.
• 8+ years in data architecture, data modeling, and data engineering.
• Experience with cloud platforms (AWS/Azure/GCP).
• Strong data governance, quality, and security knowledge.

Responsabilidades

• Design and implement data architectures including data warehouses, data lakes, and data lakehouses.
• Lead data modeling standards, governance policies, and data quality initiatives.
• Develop data integration strategies, ETL/ELT processes, and data pipelines.
• Collaborate with stakeholders to understand data needs and translate them into technical solutions.
• Ensure data quality, security, and regulatory compliance.
• 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.

Conocimientos

Leadership

Communication

Stakeholder management

Data governance

Cloud strategy

Educación

Bachelor's or Master's degree in CS/IT

Herramientas

Airflow

Informatica

Hadoop

Spark

Descripción del empleo

Showing 88 Data Architect jobs in Gauteng

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

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Professional development opportunities and continuous learning support.
• 401(k) retirement plan with company match.
• Flexible working hours and a fully remote work environment.
• Access to cutting-edge cloud technologies and challenging projects.
• Collaborative and supportive team culture.