Solutions / Data Architect

Solution / Data Architect

Skills

12-18 years of experience, with at least a few years in the Pharmaceuticals / life sciences sector (Healthcare or hospital experience does not qualify)..Shift can extend till 11pm IST(2-10PM_

Remote

Job Description

Key Responsibilities

 Design end-to-end data platform architectures.

 Build scalable solutions on leading cloud platforms using best-practice patterns.

 Create data models and integrate pharma datasets (EDC, CTMS, IRT, CRM, 3PL,

claims, hub, dispense, etc.).

 Produce solution blueprints, architecture diagrams, and implementation roadmaps.

 Lead technical delivery across multiple engagements.

 Conduct design reviews, guide development teams and ensure solution quality.

 Ensure adherence to Data governance, Security & Compliance.

 Oversee operational support activities, driving automation where possible and

resolving data management and analytics-related issues.

 Contribute reusable assets, frameworks, and best practices for the practice.

 Bring practical knowledge of AI / ML or GenAI to enhance solution oƯerings.

 Identify opportunities & design solutions where AI can improve insights,

automation, or workflow eƯiciency.

Must-Have Qualifications

 Bachelor’s degree in computer science / software engineering or equivalent

combination of education and experience

 10+ years in data engineering, architecture, or delivery leadership roles.

 At least 5 years of experience working in the Biotech / Pharma Industry supporting

Clinical / Commercial business units to meet their Data and Reporting needs.

 Hands-on experience with leading cloud platforms & services including :

AWS : S3, Glue, Lambda, Redshift, RDS, EMR, Athena, Step Functions

Azure : Azure Data Lake, ADF, Synapse, Functions, Key Vault, Event Hub.

Snowflake, Databricks

 Expertise in data lake / Lakehouse architectures and modern ELT patterns.

 Strong SQL, Python, Spark, and data modeling skills.

 Experience integrating pharma datasets & systems

 Experience / good understanding of BI & reporting platforms such as :

Power BI, Tableau, Spotfire

 Understanding of regulated data environments.

 Proven experience leading multi-phase or multi-team delivery.

 Excellent communication and client-facing leadership.

Good-to-Have Skills

 Experience with GenAI, ML pipelines, RAG architectures, embeddings, vector DBs.

 Master Data Management (MDM) experience.

 Cloud / Data certifications (AWS / Azure / Snowflake / Databricks).

 CI / CD, Terraform, containerization (Docker / K8s).

 Deep understanding of specific business processes within the pharma value chain

(e.g., clinical trial phases, supply chain logistics)

 Experience in designing and managing APIs for data ingestion and consumption