Job SummaryWe are seeking an experienced Data Architect to design and implement scalable enterprise data architectures that support operational, analytical, and AI-driven workloads. The ideal candidate will define physical and logical data models, develop architecture blueprints, evaluate data platforms, and guide enterprise data strategy while collaborating with cross-functional technology and business teams.
Key Responsibilities- Design and maintain enterprise physical and logical data architecture.
- Develop data architecture blueprints that align business and technical requirements.
- Design scalable data platforms supporting operational, analytical, and reporting workloads.
- Evaluate and recommend data platforms, technologies, and integration solutions.
- Collaborate with engineering, analytics, and business teams to define enterprise data architecture standards.
- Provide technical leadership and guidance on data architecture best practices.
- Participate in architecture reviews, governance, and strategic technology initiatives.
RequirementsRequired Skills & Qualifications- Bachelor's degree in computer science, Information Systems, Engineering, or a related field.
- 13+ years of IT experience, including 5+ years as a Data or Technology Architect.
- Strong experience in Enterprise Data Architecture.
- Hands-on experience with AWS Data Services.
- Expertise in Data Modelling (conceptual, logical, and physical).
- Experience designing Data Lakehouse architectures.
- Strong understanding of data integration, data governance, and modern data platforms.
- Excellent analytical, communication, and stakeholder management skills.
Preferred Skills- Master's degree in a related field.
- Experience with Databricks.
- Knowledge of Semantic Modelling and Dimensional Modelling.
- Experience designing modern cloud-based data platforms and analytics solutions.
- Familiarity with enterprise data governance and architecture frameworks.
