Solutions Architect – Data & Analytics (Life Sciences)

Job Title : Solutions Architect – Data & Analytics (Life Sciences)

Employment Type : Full-Time

Timings : Can extend upto 11 pm IST

Role Summary

Lead solution design and delivery execution for data, analytics, and AI initiatives primarily

within one or more Life Sciences domains (Clinical, Commercial, or Medical Affairs).

Provide architectural leadership, guide engineering teams, and ensure high-quality, secure,

and compliant data solutions for pharma and biotech clients.

Key Responsibilities

• Design end-to-end data and analytics platform architectures for Life Sciences use cases.
• Build scalable solutions on cloud platforms (AWS and / or Azure) using modern data engineering and analytics patterns.
• Work with Life Sciences datasets across at least one primary domain (Clinical or
• Commercial or Medical Affairs) and collaborate across domains as needed.
• Create solution blueprints, architecture diagrams, and phased implementation roadmaps.
• Lead technical delivery for one or more client engagements, partnering with the delivery managers and engineering leads.
• Conduct design reviews, guide development teams, ensure solution quality and maintainability.
• Ensure adherence to data governance, security, and regulatory requirements (e.g., HIPAA, GxP).
• Support operational activities by improving data reliability, observability, and automation.
• Contribute reusable assets, reference architecture, and best practices to the data & analytics practice.
• Identify opportunities where AI / ML or GenAI can enhance analytics, automation, or decision support

Must-Have Qualifications

o Clinical (e.g., EDC, CTMS, IRT, Labs), or

o Commercial (e.g., CRM, 3PL, Claims, Hub, Dispense), or

o Medical Affairs / Real-World Data

Good-to-Have Skills