【AstraZeneca】【CET】Data Architect Engineering – AI-Ready Data Warehouse Lead, Data & Business Intelligence
Core
Design and operate AI-ready data platforms, metadata frameworks, and semantic layers to translate business requirements into scalable data products for AstraZeneca's healthcare and AI initiatives.
Role type
Senior Data Architect (AI-Ready Data Warehouse)
Builds
Enterprise-scale data warehouses, ETL/ELT pipelines, and AI-optimized data infrastructure
Domain
Pharmaceutical industry, Data Engineering, Artificial Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data architecture, data modeling, ETL/ELT design, Snowflake, dbt, Fivetran, cloud platforms (AWS, Redshift, Oracle), AI/ML workflow integration, large-scale data warehousing
Preferred skills
Team leadership, project management, big data technologies, real-time analytics
Technologies
Snowflake, AWS, Redshift, Oracle, dbt, Fivetran, Streamlit, React, Power BI, Cortex
Responsibilities
Translate business requirements into data models and pipelines; design AI-optimized data infrastructure; evaluate and implement new AI/ML technologies; mentor junior engineers; collaborate with data scientists and business stakeholders
Seniority
Senior, hands-on IC with leadership responsibilities
