Job Description
About the Role
We are seeking a highly experienced Senior Enterprise Data Engineer to join our enterprise data leadership team. This is a strategic, senior-level position responsible for defining, designing, and governing the long-term vision of our enterprise data platforms. You will bridge high-level architectural strategy with hands-on technical oversight, owning the enterprise data roadmap while ensuring platforms are scalable, secure, and aligned with business objectives.
Key Responsibilities
- Design and own the roadmap for enterprise-scale data architectures, including data lakes, data warehouses, and virtualization layers
- Define and enforce enterprise-wide standards for data integration, replication, data modeling, and data virtualization
- Lead evaluation and adoption of new data technologies, balancing innovation, stability, scalability, and total cost of ownership
- Design architectures suitable for analytics, AI, operational reporting, and real-time use cases
- Partner with executives and data leaders to influence long-term data strategy and investment roadmaps
Requirements
- 8 years of progressive experience in data engineering, data architecture, or enterprise data platform roles
- 2–3 years in a leadership or strategic oversight capacity
- Expert-level experience architecting and deploying enterprise data virtualization solutions using Denodo (including Denodo Platform and Data Catalog)
- Deep expertise in Qlik Talend (Cloud and On-Prem) for ETL/ELT orchestration
- Proven experience with Qlik Replicate for log-based CDC and real-time data replication
- Expert-level SQL skills and strong experience with advanced enterprise data modeling techniques (Data Vault 2.0, Anchor Modeling)
- Strong understanding of enterprise data governance, metadata management, and data quality frameworks
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical field
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About IT / Computing / Software Jobs in Gauteng
In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.
Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.
Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.
The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.
For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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