Remote Solution Architect - Commercial Product Launch

Apptad; South San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Apptad seeks a Solution Architect for Commercial Product Launch to design and lead the data platform for pharma launches. You will unify datasets across Sales, Prescriptions, Claims, Payer Market Access, and CRM into a governed source of truth for launch analysis.

The role requires 10+ years in life sciences data architecture and hands-on experience with AWS or Snowflake, PySpark, and data modeling. Collaboration with Brand teams and IT is essential in a long-term contract setting.

Qualifications

• 10+ years in Life Sciences / Pharmaceutical Data Architecture and Commercial Analytics.
• Hands-on experience integrating and modeling multiple datasets (IQVIA, LAAD, Veeva CRM, EDI feeds, MMIT, Careset).
• Cloud data platforms (AWS or Snowflake) and data processing/engineering (PySpark, SQL).
• Dimensional modeling and Master Data Management (MDM).
• US pharma commercial operations and market access knowledge.

Responsibilities

• Architect end-to-end cloud data pipelines, semantic layers, and data marts on AWS or Snowflake.
• Ingest and harmonize commercial launch data across Sales, Prescriptions, Claims, Payer/Market Access, CRM, and Master Data.
• Build KPI rule engines and data quality gates for launch governance.
• Lead cross-functional delivery with Brand Teams, Analytics, Data Engineering, and IT.

Skills

Life Sciences experience

Commercial Analytics

Data architecture leadership

Cross-functional leadership

Domain knowledge

Education

Bachelor's/Master in IT/CS

Tools

AWS

Snowflake

PySpark

SQL

ETL/ELT

REST APIs

Iceberg

Job description

Apptad seeks a Solution Architect for Commercial Product Launch to design and lead the data platform for pharma launches. You will unify datasets across Sales, Prescriptions, Claims, Payer Market Access, and CRM into a governed source of truth for launch analysis.

The role requires 10+ years in life sciences data architecture and hands-on experience with AWS or Snowflake, PySpark, and data modeling. Collaboration with Brand teams and IT is essential in a long-term contract setting.