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 oerings.

Identify opportunities & design solutions where AI can improve insights,

automation, or workflow eiciency.

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