Tech Lead
Role Overview We are looking for an experienced Data Architect with strong expertise in Data Modelling, Data Warehousing, Data Lakes, ETL, and Enterprise Data Platforms, along with deep knowledge of the Pharma/Life Sciences domain, particularly RandD and LIMS (Laboratory Information Management Systems). Key Responsibilities Design and maintain enterprise data architectures, data models, schemas, and integration frameworks. Develop scalable data warehouse, data lake, and cloud-based data solutions. Lead data migration, ETL/ELT, data quality, and data integration initiatives. Define and enforce data governance, metadata, security, and compliance standards. Optimize data storage, performance, and accessibility across cloud and on-premise environments. Collaborate with business and technical stakeholders to translate requirements into robust data solutions. Provide architectural recommendations and improve existing data management frameworks. Required Skills and Experience 8+ years of experience in Data Architecture/Data Modelling, including hands-on experience with Erwin and/or ER Studio. Strong experience in Data Analysis, Data Warehousing, Data Lakes, ETL, and Enterprise Big Data Platforms. 5+ years of experience in the Pharma/Life Sciences industry, with a strong understanding of RandD data and LIMS. Experience delivering at least one end-to-end Life Sciences data project. Knowledge of Data Governance, Metadata Management, Data Security, and Data Quality frameworks. ..... full job details .....
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