Solution Architect
IntegriChain
full-time
Posted on:
Location Type: Remote
Location: Pennsylvania • United States
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About the role
- Lead architecture design and implementation of Data Warehousing (DWH) and Patient Data Aggregation solutions for Pharma clients
- Define data integration strategies across ETL/ELT, MDM, and BI layers, ensuring seamless interoperability between Pharma, Payer, and Provider data sources
- Design and optimize multi-tenant, scalable data platforms on Snowflake to support Life Sciences data workloads
- Establish best practices for data modeling, governance, and security in Pharma & Healthcare environments
- Provide technical leadership to Data Engineers, DBT Developers, and Data Scientists for building scalable data pipelines
- Define data orchestration and transformation frameworks to ensure accurate, real-time, and compliant patient data aggregation
- Work closely with client IT and business stakeholders to align architecture decisions with business needs and regulatory requirements
- Implement data security, privacy, and compliance standards specific to Pharma, including HIPAA, GDPR, and GxP
- Define MDM integration strategies for harmonizing Pharma patient data and establishing golden records for commercial, clinical, and real-world evidence (RWE) datasets
- Lead data quality initiatives, ensuring accurate, consistent, and validated patient data across multiple pharma business units
- Collaborate with regulatory and compliance teams to ensure data platforms meet FDA, EMA, and other regulatory body requirements
- Act as the primary technical point of contact for Pharma clients, ensuring successful project delivery
- Collaborate with business stakeholders, data analysts, and BI teams to ensure the architecture supports analytics, reporting, and real-world evidence generation
- Lead technical discussions, POCs, and architectural reviews for Pharma data solutions
- Document technical architecture, best practices, and operational guidelines for DWH and Patient Data Aggregation implementations.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
- 10+ years of experience in Data Architecture, Solution Design, or Data Engineering
- 5+ years working with Snowflake, DBT, and modern cloud-based data platforms in Pharma/Life Sciences
- Proven experience delivering Data Warehousing (DWH) and Patient Data Aggregation solutions for Pharma clients
- Experience with Pharma data domains, including EMR, Claims, EHR, Clinical Trials, and Real-World Data (RWD)
- Certifications in Snowflake, DBT, or Cloud Platforms (Azure, AWS) are a plus
- Experience with AI/ML-driven patient data solutions is a plus.
Benefits
- Excellent and affordable medical benefits
- Flexible Paid Time Off
- 401(k) Plan with a Company Match to prepare for your future
- Parental Leave
- Student Loan Reimbursement
- Robust Learning & Development opportunities including over 700+ development courses free to all employees.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data WarehousingData IntegrationETLELTMDMBIData ModelingData GovernanceData SecurityData Quality
Soft Skills
Technical LeadershipCollaborationCommunicationProblem SolvingStakeholder Management
Certifications
Snowflake CertificationDBT Certification