Role Overview:
An established enterprise is seeking a Senior Data Solution Designer to lead the architecture and delivery of scalable, high-performing data platforms on AWS. This position blends technical leadership with hands-on engineering, focusing on building and optimizing cloud-based data ecosystems that enable business insights and innovation across multiple domains.
Key Responsibilities:
- Drive the end-to-end design and deployment of AWS-centric data platforms across engineering, integration, and governance functions.
- Oversee technical implementation to ensure robust, secure, and scalable data systems.
- Partner with cross-functional teams to translate business requirements into effective technical solutions.
- Continuously enhance data platform performance, reliability, and operational efficiency.
- Define and execute strategies for data management, including Lakehouse, Data Warehouse, MDM, and analytics frameworks.
- Champion best practices in data engineering, architecture, and AWS technologies.
Key Requirements:
- At least 10 years of experience in designing and delivering enterprise-scale data solutions, with deep expertise in AWS services (e.g., S3, Redshift, Glue, Athena).
- Proven background in building and optimizing large data platforms such as Lakehouse, Data Warehouse, and MDM systems.
- Strong communication and stakeholder management skills, with the ability to bridge technical and business perspectives.
- Demonstrated success in managing multiple projects and aligning data initiatives with organizational goals.
- Hands-on proficiency in data coding, integration, and governance best practices.
- Excellent analytical and problem-solving capabilities, with a structured and detail-oriented approach.
If this role aligns with your experience and career goals, please send your application to AviralBhargava@argyllscott.sg.
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.