We are looking for an experienced Solution Architect – Data & AI Platforms to join our client’s team and lead the architecture and delivery of enterprise-scale data platforms, lakehouses, and analytics solutions.
The ideal candidate will bring deep expertise in Solution Architecture, Data Architecture, or Enterprise Architecture, with proven experience delivering cloud-native data and AI platforms, particularly using Azure Databricks and Government Commercial Cloud (GCC) environments.
Key Responsibilities
- Design end-to-end architecture for enterprise-scale data platforms, lakehouses, and analytics solutions.
- Lead architecture across multiple workstreams, engineering teams, and technology vendors.
- Design scalable, secure, and high-performance cloud-native data and AI platforms.
- Drive architecture decisions related to data ingestion, processing, storage, integration, governance, and analytics.
- Leverage Azure Databricks and relevant Azure services to develop enterprise-grade data platform architectures.
- Ensure solutions meet security, compliance, governance, performance, and cost-optimization requirements within GCC environments.
- Translate business requirements into technical architecture, solution designs, and implementation roadmaps.
- Collaborate with engineering teams, cloud architects, security teams, and business stakeholders to ensure successful delivery.
- Identify architectural risks, manage technical dependencies, and maintain consistency across delivery teams and vendors.
Requirements
- Minimum 10 years of relevant experience in Solution Architecture, Data Architecture, or Enterprise Architecture.
- Proven experience delivering enterprise-scale data platforms, lakehouses, or analytics platforms.
- Strong experience leading architecture across multiple workstreams and vendors.
- Hands-on experience with cloud-native data and AI platforms, particularly the Microsoft Azure ecosystem.
- Strong expertise in Azure Databricks and enterprise data platform architecture.
- Experience working with Government Commercial Cloud (GCC) environments.
- Strong understanding of data architecture, data modelling, data integration, governance, security, and distributed systems.
- Excellent communication, stakeholder management, problem-solving, and technical leadership skills.
Preferred Qualifications
- Experience delivering enterprise data transformation and modernisation initiatives.
- Familiarity with cloud security, regulatory compliance, and enterprise data governance.
- Experience integrating AI/ML capabilities into enterprise data platforms.
- Relevant Azure or architecture certifications are an advantage.
Benefits
- International projects: Work on challenging enterprise technology initiatives.
- Collaborative environment: Partner with experienced professionals across architecture, engineering, and data.
- Professional growth: Gain exposure to modern cloud, data, and AI technologies.
- Team culture: Participate in team outings and team-building activities.
- Competitive compensation: Salary and benefits aligned with experience and expertise.