Osprey Life Sciences · 14 hours ago
Data Architect
United States
Full-time
Remote
Senior Level
5+ years expOsprey Life Sciences, LLC is a leading consulting and services firm specializing in providing comprehensive technology solutions for Life Sciences IT organizations. They are looking for a Data Architect to design and evolve their enterprise data ecosystem, defining the end-to-end data architecture and guiding engineering teams to implement scalable solutions.
Management Consulting
Hiring Manager
Rebecca Coleman
Responsibilities
Design data models (conceptual, logical, physical) to support analytics, reporting, and data science use cases
Establish data standards, governance practices, lineage, and master/reference data strategies
Recommend technologies and patterns (ELT vs ETL, CDC, streaming, batch)
Partner with data engineers to translate architectural designs into reliable pipelines
Define security, privacy, and compliance controls with InfoSec and Compliance (e.g., PHI/PII handling, RBAC/ABAC, data masking)
Improve data quality through metadata, profiling, validation rules, and defined SLAs/SLOs
Produce architectural artifacts, decision records, and roadmaps aligned to business priorities
Provide guidance on cost optimization, performance tuning, and cloud scalability
Review solution designs, mentor engineers, and contribute to reference implementations
Qualification
Required
5+ years in data architecture, data engineering, or related roles
At least 2 years designing enterprise data platforms
Strong data modeling skills (3NF, dimensional/star, data vault) and familiarity with modern lakehouse patterns
Hands-on understanding of SQL, Python, and distributed compute (e.g., Spark)
Experience with cloud-native data services and performance/cost trade-offs
Understanding of ELT/ETL, CDC, streaming, batch, orchestration, and CI/CD for data
Knowledge of data governance, metadata, lineage, MDM/RDM, and data quality practices
Strong communication skills and ability to translate business needs into technical architecture
Experience in a consulting environment
Preferred
Familiarity with common life sciences data domains (clinical, commercial, R&D, manufacturing, quality)
Experience supporting analytics, ML, or reporting use cases across cross‑functional teams
Benefits
Excellent compensation and benefits package
Opportunity to learn
Opportunity to grow
Opportunity to contribute to a stimulating, fast-paced environment
Company
Osprey Life Sciences
At Osprey Life Sciences, we empower life sciences organizations to transform complexity into clarity – from laboratory innovation through commercial launch.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase