The Senior Data Platform Engineer will be responsible for the design, development, and optimization of our enterprise data platform. This role is key in building scalable data infrastructure, enabling advanced analytics, and supporting data-driven decision-making across the organization.

Responsibilities:

• Design, build, and maintain scalable and secure data pipelines and data lake/warehouse architectures.
• Optimize data workflows for performance and cost-efficiency in cloud environments (e.g., Azure)
• Lead the adoption of modern data engineering tools and frameworks (e.g., Databricks, Azure Data Factory).
• Monitor and troubleshoot data platform performance and reliability issues.
• Collaborate with the product delivery team and business stakeholders to understand data requirements and deliver meaningful insights.
• Participate in Agile development processes including Scrum and Kanban events.
• Prepare high-level and detailed technical designs for data solutions.
• Apply best practices in coding, testing, and deployment, including Cl/CD pipelines.
• Stay updated with the latest trends in analytics engineering and suggest process improvements.

Qualifications:

• At least five (5) years of experience in a platform engineering or software engineering role.
• Strong analytical and problem-solving skills.
• Proven experience with cloud platforms such as Azure or AWS.
• Excellent oral and written communication skills in English.