Data Mesh Architect

1 week ago

England, United Kingdom Ingenium Digital Full time

Job Title: Data Mesh Architect (Full-Time)Location: Basel, Switzerland (Primary) | UK/Europe (Secondary)Experience: 10+ yearsIndustry: Pharma / BiotechWork Mode- Hybrid/RemoteCompensation: Competitive, to be discussedAbout the Role:We are seeking a highly skilled Data Mesh Architect to design, implement, and optimize enterprise-scale data architectures in the Pharma/Biotech domain. The ideal candidate will have hands-on experience with modern data platforms and a strong understanding of Data Mesh principles, metadata management, and semantic modelling.Key Responsibilities:Design and implement Data Mesh architectures across enterprise data platforms.Work hands-on with AWS services (S3, Glue, Athena) and cloud-based data warehousing (Snowflake).Develop and maintain metadata catalogues and ensure robust semantic modelling.Collaborate with business and technical teams to enable data-driven decision-making.Implement best practices for data governance, security, and compliance in Pharma/Biotech environments.Provide technical leadership and mentoring to data engineering and analytics teams.Required Skills & Expertise:10+ years of experience in data architecture, data engineering, or related roles.Hands-on expertise with AWS (S3, Glue, Athena), Snowflake, Palantir Foundry.Strong knowledge of Data Mesh principles, metadata catalogues, and semantic modelling.Proven experience in the Pharma/Biotech domain.Excellent communication skills and ability to work across multi-disciplinary teams.Preferred Qualifications:Prior experience implementing enterprise-scale data platforms.Familiarity with data governance frameworks and compliance regulations in Pharma/Biotech.Demonstrated ability to drive adoption of data mesh concepts in large organizations.Why Join Us:Work on cutting-edge data platforms in the Pharma/Biotech industry.Collaborate with global teams in a fast-paced, innovative environment.Competitive compensation with opportunities for growth and learning.

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