Data Warehouse Architect

BridgeView Life Sciences is seeking a Life Sciences Data Warehouse Architect to design and govern enterprise-scale data and analytics platforms across clinical, R&D, manufacturing, quality, regulatory, and commercial domains. This role will shape scalable, compliant data ecosystems that power advanced analytics, reporting, and enterprise decision-making in a regulated life sciences environment.Key ResponsibilitiesData Architecture and Design● Design scalable, secure, and high-performance data warehouse and data lake architectures● Develop conceptual, logical, and physical data models for complex life sciences datasets● Define integration patterns across clinical, R&D, manufacturing, regulatory, and commercial systems● Architect cloud, on-prem, and hybrid data solutions aligned to enterprise needsData Integration and Engineering● Oversee data ingestion from systems such as EDC, CTMS, LIMS, QMS, ERP, and CRM platforms● Define ETL and ELT frameworks, pipelines, and transformation standards● Ensure consistent, high-quality, and timely data across integrated sources● Collaborate with engineering teams on implementation and performance optimizationGovernance and Compliance● Ensure alignment with GxP, FDA 21 CFR Part 11, GDPR, HIPAA, and other regulations● Establish data governance, metadata standards, and lineage frameworks● Support validation processes and documentation in regulated environments● Partner with compliance teams during audits and inspectionsAnalytics Enablement● Enable self-service BI, reporting, and advanced analytics capabilities● Optimize data structures for dashboards, analytics, and data science use cases● Support clinical analytics, real-world evidence, and operational reporting needsStrategy and Stakeholder Collaboration● Translate business requirements into scalable architectural solutions● Define data warehouse roadmap aligned with digital transformation strategy● Evaluate platforms, tools, and vendors for enterprise adoption● Mentor junior architects and data engineers on best practicesRequired Qualifications● Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field● 7–12+ years of experience in data architecture or data warehousing, preferably in life sciences or regulated industries● Strong expertise in data modeling and enterprise architecture● Experience with cloud platforms such as AWS, Azure, or GCP● Strong understanding of GxP and validated systemsPreferred Qualifications● Advanced degree in a relevant field (MS, PhD, or MBA)● Experience in clinical trials, R&D analytics, or regulatory submissions● Hands-on experience with platforms such as Snowflake, Redshift, BigQuery, Synapse, or Databricks● Familiarity with Master Data Management and governance frameworks● Cloud or data architecture certificationsKey Skills● Enterprise data architecture and modeling● ETL and ELT design and optimization● Cloud and hybrid data platforms● Regulatory compliance in life sciences systems● Strong stakeholder communication and strategic thinking