Description

Key Responsibilities
1. Azure Data Platform Architecture Leadership
Design and own Azure-based data platform architecture, including: 
Azure Data Lake Storage (ADLS Gen2)
Azure Databricks / Synapse Analytics
Azure Data Factory and event-driven services
Align architecture to enterprise cloud, security, and governance standards

2. Lab Informatics Integration (LIMS / SDMS / ELN)
Architect integration of lab systems including: 
LIMS (Laboratory Information Management Systems)
SDMS (Scientific Data Management Systems)
ELN and instrument data sources
Define ingestion patterns for: 
Structured laboratory data (samples, results, metadata)
Unstructured scientific data (instrument files, reports, raw datasets)

Address challenges such as: 
Instrument data variability and formats
Vendor system constraints
Data synchronization across lab workflows

3. Scientific Data Modeling & Standardization
Define and govern data models for lab entities, including: 
Methods, samples, experiments, results, instruments, and documents
Align LIMS/SDMS data structures to canonical enterprise data models
Enable end-to-end traceability and lineage (digital thread)

4. Data Ingestion & Transformation Architecture
Define ingestion pipelines for: 
LIMS transactional data
SDMS instrument and file-based data
Design transformation frameworks using: 
Databricks / Spark / Delta Lake
Ensure preservation of: 
Raw scientific data
Standardized, analytics-ready datasets

5. Metadata, Governance & Compliance
Implement governance using Microsoft Purview for: 
Data cataloging (LIMS datasets, SDMS file assets)
Lineage from instrument → SDMS → lakehouse → analytics
Define: 
Data classification and sensitivity
Ownership and stewardship for lab datasets
Ensure compliance with: 
GxP / FDA regulations
Auditability and traceability requirements

6. Integration & Digital Thread Enablement
Define integration patterns for LIMS/SDMS: 
APIs, batch ingestion, file-based transfers, and streaming
Enable digital thread across lab processes, linking: 
Samples → experiments → results → reports → downstream analytics
Ensure consistent identifiers and cross-system linkage

7. Analytics, Reporting & Scientific Insights Enablement
Enable analytics via: 
Power BI semantic models
Data science pipelines on Databricks / Azure ML
Support use cases such as: 
Quality reporting
Regulatory submissions
Advanced analytics (predictive insights, AI)

8. Non-Functional & Cloud Architecture
Define Azure architecture for: 
Scalability and performance for large instrument datasets
High availability and disaster recovery
Monitoring (Azure Monitor, Log Analytics)
Optimize cost and performance for data-intensive workloads

9. Implementation & DevOps Readiness
Define CI/CD pipelines using: 
Azure DevOps / GitHub
Enable automated deployment for: 
Data pipelines
Data models
Infrastructure

Mandatory skills:
Hands-on experience working with: 
LIMS platforms (LabWare, STARLIMS, Thermo Fisher, etc.)
SDMS solutions (BIOVIA, Waters NuGenesis, LabVantage, etc.)
Strong understanding of: 
Laboratory workflows (samples, methods, results)
Instrument data capture and file formats
Scientific data lifecycle management

Experience handling: 
Integration of LIMS/SDMS with enterprise data platforms
Challenges of structured vs unstructured lab data
Regulatory and audit requirements for lab environments

Core Skills
Azure Data Architecture
ADLS Gen2, Databricks, Synapse Analytics
Azure Data Factory, Event Hub, Service Bus
Delta Lake, Spark-based processing
LIMS / SDMS Data Expertise
Data ingestion from lab systems and instruments
File-based workflows (CSV, XML, proprietary instrument formats)
Metadata extraction from SDMS platforms
Handling high-volume, high-granularity scientific datasets

Governance & Data Management
Microsoft Purview, lineage, cataloging
Data quality, stewardship, and SoR frameworks
Regulatory compliance (GxP, audit, traceability)

Integration & Digital Thread
API, batch, event-driven architectures
Cross-system identifier strategy
End-to-end data lineage across lab workflows

Key Skills

Education

Bachelor's degree