AI/ML & Data Platforms organisation
Job responsibilities
- Design and implement a data mesh architecture that decentralizes data ownership and management across domain teams.
- Develop and maintain data architecture standards, including data product interfaces, data contracts, and governance frameworks.
- Collaborate with domain teams to understand their data needs and provide guidance on best practices for data product development.
- Leverage AWS services (e.g., AWS Glue, Redshift, S3, Lambda) to build scalable and secure data solutions.
- Implement data governance and security measures to ensure data quality and compliance with industry standards.
- Monitor and optimize the performance and scalability of data products and infrastructure.
- Provide training and support to domain teams on data mesh principles and AWS technologies.
- Stay up-to-date with industry trends and emerging technologies in data mesh and cloud computing.
- Champion the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Data Architecture concepts and expert applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Expertise in one or more programming language(s) preference Python and Java
- Expert level experience with AWS or other Public Cloud providers
- Expert level with Databricks, Snowflake, Starburst, Trino, AWS Database & Analytics
- Hands on experience in working on BI and AI/ML solutions with business stakeholders and data scientists
- Influencer with a proven record of successfully driving change and transforming across organizational boundaries
- Ability to present and effectively communicate to Senior Leaders and Executives