SrStaffEngineer,DataManagement(DEA)

The Data Enablement and Analytics (DEA) team, within the PAPD (Product, Analytics and Process Development) organization, is a multi-functional team that drives PAPD’s digitalization efforts by making data usable and useful! The Data Management Architect defines and governs the end-to-end architecture of data systems that power preclinical science and operations. You will architect domain-driven data models, curated datasets, and integration patterns across data lakes, lab systems and analytical tools, while enabling self-service visualizations. You will drive data quality, lineage, metadata and data catalog standards, and platform patterns. To accomplish this, you will partner with numerous teams and departments and deliver value through Agile approaches. **A Typical Day in the Role Might Involve:** * **Enterprise Data Architecture (Preclinical):** Define data models for preclinical entities (samples, assays, lots, batches, instruments, methods), harmonized across the data ecosystem; establish golden‑record, lineage, and System or record. * **Data Platform Design:** Partner with IT teams to continue our journey to a central data platform like the Research data lake or connected data marts. Partner with data engineering teams to design streaming and batch data flow (ETL vs ELT) patterns and deliver such solutions. * **Visualization & Semantics:** Publish governed, analysis‑ready semantic layers and reusable data marts; define KPI/metric definitions; enable self‑service in **Spotfire** /**Tableau** with certified data sources and good performance. * **Data Management & Governance:** Stand up data catalog/metadata standards, reference/master data strategies, quality controls, and lifecycle policies; partner with business data stewards in PAPD. * **LIMS/ELN Architecture and Solution Delivery:** Partner with platform owners and lab teams to model experiment workflows, capture structured context at source, and ensure compliant, scalable Lab platforms like **Benchling or L