US Data Products Solution Architect - RDT Pharma Medicines

Overview

Lead the architecture and delivery of the data solution for the US Commercial pharma business, covering how commercial data is ingested, governed, modeled, and served to analytics, AI, and field-facing applications.

What you'll do

• Design solutions that meet product requirements, business priorities, and enterprise standards.
• Manage Non-Functional Requirements (NFR) and fitness functions.
• Document and evolve the architecture throughout the product life cycle and align with the architecture community for governance.
• Act as technical delivery owner, managing sprint velocity and engineering output alongside architectural duties.
• Design data pipelines, complex data models (Veeva, HCP, claims), AWS infrastructure decisions, and conduct technical code reviews.
• Size technical debt, break down architectures into actionable sprint tasks, and unblock developers.
• Maintain the vision, roadmap, and current landscape for multiple solutions.
• Assess and consult on the impacts and dependencies of initiatives on capabilities, risk, and the application landscape.
• Create Conceptual and Logical Data Models, Taxonomies, Ontologies, and Integration pathways for the product.
• Define and drive reference architectures, patterns, NFRs, and fitness functions, ensuring Architecture Decision Records (ADRs) are recorded and published.
• Drive external technology trends and assess feasibility, including vendor assessments.
• Communicate difficult concepts clearly, negotiate with others, and drive information sharing across the product.
• Develop and maintain the product's technology roadmap and provide technical oversight and consultation to product teams.
• Improve existing solutions, manage technical debt, and research, evaluate, pilot, and drive adoption of new technologies.
• Apply in-depth, expert-level knowledge across multiple technology areas and contribute to Architecture Practices development and mentoring.

What you'll need

• 10–14 years of IT/data experience, with 4+ years in a data architect or platform architect role.
• Deep AWS data architecture experience: S3, Glue, Lake Formation, Athena, Redshift, EMR/Spark, dbt, Lambda, Step Functions, MWAA (Airflow), DMS/DataSync, Kinesis/MSK, IAM, and KMS.
• Proven design of lakehouse and data warehouse platforms at scale (Iceberg/Delta/Hudi, medallion patterns, dimensional and data vault modeling).
• Experience establishing data products and a semantic/metrics layer (e.g., dbt, Cube, AtScale, or equivalent).
• Experience with unstructured data architectures, including RAG and vector search.
• Strong grounding in governance, security, and privacy for regulated health data.
• 5+ years in US pharma/life sciences commercial analytics, with knowledge of data sources such as IQVIA, Symphony, Komodo, Veeva, specialty pharmacy, and payer data.
• Hands-on ability in SQL, Python, and PySpark, with the ability to review code and prototype designs.
• Experience with Terraform or CloudFormation, CI/CD, and DevOps/DataOps practices.
• Exceptional communication and negotiation skills, with the ability to influence stakeholders to adopt different perspectives.

Nice to have

• Exposure to GenAI/agentic use cases in commercial (field copilots, NBA, natural-language analytics).
• Proactive mindset to identify opportunities to enhance value, improve existing solutions, and lead teams in identifying innovative solutions.
• Strong capability to drive external technology trends and assess feasibility, including conducting vendor assessments.

Details

• Location: Hyderabad.