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.