Data Architect
Role Overview
We are seeking a skilled Data Architect to design, implement, and support our data platform architecture. This role focuses on enhancing platform capabilities, driving the adoption of Medallion / Lakehouse architecture, and ensuring robust engineering standards and governance. You will work closely with engineering and cloud teams to deliver scalable, well-governed, and high-performing data solutions, leveraging Denodo for data virtualization.
Key Responsibilities
- Design and implement data platform architectures, including Lakehouse / Medallion patterns.
- Support platform capability uplift, ensuring adherence to engineering standards and best practices.
- Develop and maintain platform blueprints to guide cloud and on-premises data solutions.
- Apply Denodo for data virtualization, integration, and secure access.
- Collaborate with platform and cloud teams to deliver scalable, efficient, and governed data solutions.
- Ensure compliance with data governance, security, and operational standards.
- Support DataOps practices to improve platform reliability and maintainability.
Required Skills & Experience
- Experience in Data Platform Architecture and Cloud Architecture.
- Hands-on experience with Denodo and/or data virtualization tools.
- Knowledge of Medallion / Lakehouse architecture.
- Experience in implementing platform governance, standards, and blueprints.
- Familiarity with cloud data services such as AWS, Azure, Synapse, ADLS, Glue, S3.
- Strong analytical and problem-solving skills.
Key Competencies
- Collaborative approach with excellent communication skills.
- Attention to detail with a focus on quality, scalability, and operational excellence.
- Ability to work across teams to implement architectural best practices.
- Proactive in learning and adopting new cloud and data technologies.