Posted on: 09/10/2026
Data & Solution Architect - Commercial Pharma
About the Role :
We are looking for a seasoned Data & Solution Architect to design and lead end-to-end data and technology architectures for commercial pharma and life sciences engagements. This is a client-facing architecture role where you will drive technology decisions, define solution architectures, support pre-sales and RFPs, and act as the technical anchor across delivery.
Key Responsibilities :
- Design end-to-end data and solution architectures for commercial pharma use cases.
- Architect solutions for HCP/HCO data, sales & call activity, patient/patient hub, claims, market research and RWE data.
- Design scalable data models, MDM frameworks and ETL/ELT pipelines.
- Define architecture for AI/ML and GenAI-enabled commercial solutions, including forecasting, next-best-action and customer intelligence.
- Design integrations with Veeva CRM/Vault and Salesforce Health/Life Sciences Cloud and third-party pharma data providers.
- Ensure solutions align with HIPAA, GxP, 21 CFR Part 11 and applicable data privacy regulations.
- Work closely with business, technology and client stakeholders to translate business requirements into scalable technical solutions.
- Support RFPs, pre-sales, solution proposals and architecture workshops.
- Define architecture standards, governance and best practices across projects.
- Mentor data and engineering teams and provide technical leadership.
Tech Stack : Azure, AWS, GCP, Snowflake, Databricks, Microsoft Fabric, Veeva CRM/Vault, Salesforce Health/Life Sciences Cloud.
Required Skills & Experience :
- 10+ years of experience in Data Architecture / Solution Architecture.
- 5+ years of experience in Pharma / Life Sciences, preferably commercial pharma.
- Strong understanding of HCP/HCO master data and commercial pharma data domains.
- Strong experience in Data Modeling, MDM, ETL/ELT and Data Integration.
- Hands-on architecture experience with Snowflake, Databricks, Azure Synapse/Fabric, AWS Redshift or equivalent.
- Experience with Veeva CRM/Vault, Salesforce Health Cloud or similar commercial CRM platforms.
- Strong understanding of cloud architecture across Azure, AWS or GCP.
- Experience with API and integration architecture.
- Good understanding of pharma compliance and data privacy frameworks such as HIPAA, GxP and 21 CFR Part 11.
- Excellent client-facing communication, stakeholder management and solutioning skills.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or related field.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1677536