Senior Data Architect
Summary
Designs and leads enterprise-scale data platforms on Google Cloud Platform, defining standards for data warehouses, lakes, and governance while enabling analytics and compliance.
Senior Data Architect
Location: Johannesburg, Gauteng (Preferred)
Contract Type: Initial 12-Month Contract (with a strong possibility of extension based on project delivery and performance)
Start Date: As soon as possible
Are you an experienced Senior Data Architect with a passion for designing enterprise-scale data platforms and driving cloud-based data transformation initiatives?
Our client is seeking an experienced Senior Data Architect to lead the design, governance, and implementation of enterprise-scale data architecture initiatives.
This role will play a strategic role in defining data architecture standards, designing scalable cloud-based data platforms, and enabling business value through effective data management and analytics capabilities.
The successful candidate will possess deep expertise in Google Cloud Platform (GCP) and a strong background in modern data architectures, data integration, governance, and analytics solutions. Exposure to AWS will be advantageous.
Key Responsibilities
- Define and maintain the enterprise data architecture strategy, standards, and best practices.
- Design scalable, secure, and high-performing data architectures aligned to business and technology objectives.
- Lead the architecture and implementation of cloud-based data platforms, primarily within Google Cloud Platform (GCP).
- Collaborate with business stakeholders, product owners, data engineers, analysts, and solution architects to understand requirements and translate them into technical solutions.
- Develop data models, data flow diagrams, integration frameworks, and architecture blueprints.
- Establish and enforce data governance, data quality, metadata management, and master data management standards.
- Guide the design and implementation of data lakes, data warehouses, lakehouse architectures, and real-time data processing solutions.
- Ensure compliance with security, privacy, regulatory, and risk management requirements.
- Provide architectural leadership across data-focused projects and programmes.
- Conduct architecture reviews and recommend technology improvements and optimisation opportunities.
- Mentor and support data engineering and analytics teams on architecture best practices.
- Evaluate emerging technologies and recommend innovative solutions that support organisational objectives.
Minimum Requirements
Qualifications
- Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
- Relevant cloud certifications preferred, including:
- Google Professional Data Engineer.
- Google Professional Cloud Architect.
- AWS Certified Solutions Architect (Advantageous).
Experience
Essential
- 8+ years of experience in Data Architecture, Data Engineering, or related data-focused roles.
- Proven experience designing and implementing enterprise-scale data solutions.
- Strong hands-on experience with Google Cloud Platform (GCP) services and architecture.
- Extensive experience handling, analysing, interpreting, and managing data within large-scale data projects.
- Strong understanding of:
- Data Warehousing.
- Data Lakes.
- Lakehouse Architecture.
- ETL/ELT Frameworks.
- Data Modelling (Conceptual, Logical, and Physical).
- Data Governance.
- Data Quality Management.
- Metadata Management.
- Master Data Management (MDM).
- Experience integrating data from multiple source systems and platforms.
- Strong knowledge of SQL and modern data processing technologies.
- Experience working with structured, semi-structured, and unstructured data.
- Ability to engage with both technical and non-technical stakeholders.
- Excellent analytical, problem-solving, and communication skills.
GCP Technologies (Essential)
Experience with several of the following:
- BigQuery.
- Cloud Storage.
- Dataflow.
- Dataproc.
- Pub/Sub.
- Cloud Composer.
- Looker.
- Cloud Functions.
- IAM and Security Frameworks.
Highly Advantageous
- AWS architecture and data platform experience.
- Experience with multi-cloud environments.
- Exposure to AI/ML-enabled data platforms.
- Financial services, telecommunications, retail, or large enterprise experience.
- Relevant cloud certifications.
Key Competencies
- Strategic Thinking
- Stakeholder Management
- Solution Design
- Data Governance Leadership
- Technical Architecture Expertise
- Problem Solving
- Communication & Presentation Skills
- Leadership & Mentoring
- Business Acumen
- Continuous Improvement Mindset
What's on Offer
- Initial 12-month contract with a strong possibility of extension based on project delivery and performance.
- Hybrid work model (subject to client requirements).
- Opportunity to lead enterprise-wide cloud and data transformation initiatives.
- Work with modern cloud-native data technologies within Google Cloud Platform (GCP).
- Collaborate with high-performing architecture, engineering, and analytics teams.
- Immediate start available.
If you are an experienced Senior Data Architect with a passion for enterprise data architecture, cloud technologies, and delivering scalable data solutions, we'd love to hear from you.