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Data Architect

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Summary

Data Architect who designs and supports an enterprise data platform: driving Medallion/Lakehouse architecture, data virtualization with Denodo, and governance standards across AWS and Azure cloud services. Day to day involves creating platform blueprints and collaborating with engineering and cloud teams on scalable, well-governed data solutions.

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.



Skills

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See also

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