Data Architect

Thermo Fisher Scientific India

8 - 12 years

50 - 60 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

supply chain computer science automation pharma analytical healthcare data processing data quality operations analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Data Architect builds and leads enterprise data systems that strengthen research, manufacturing, and supply chain excellence. The role blends architecture, analytics, and compliance to transform data into usable intelligence.

Key Responsibilities

Build and optimize data architectures supporting pharmaceutical R&D and operations.
Develop end-to-end data models, pipelines, and integrations across multiple platforms.
Implement governance frameworks ensuring data quality, traceability, and GxP alignment.
Partner with technical and business teams to drive data-driven outcomes.
Implement and coordinate AWS, Microsoft Azure, Databricks, Snowflake, Power BI, and Tableau solutions.
Introduce AI, analytics, and automation to streamline decision-making.
Maintain documentation and mentor teams on secure, compliant data practices.

Qualifications

Bachelor s or Master s degree in Computer Science, Data Science, or related field.
8 - 12 Years of experience in data architecture within pharma, biotech, or healthcare.
Demonstrated proficiency in modern data tools such as AWS, Azure, Databricks, Snowflake, Power BI, and Tableau.
Solid understanding of governance and compliance frameworks (GxP, GDPR, FAIR).
Superb communication and analytical problem-solving skills.

Preferred

Experience in a CDMO or regulated manufacturing setting.
Experience using Internet of Things (IoT), digital replicas, or artificial intelligence/machine learning (AI/ML) tools for resourceful manufacturing.

Current Data Technology Platforms

AWS, Azure: Cloud infrastructure and scalable computing
Databricks, Snowflake: Analytics and data processing
SAS, R, Posit: Statistical and data science tools
Power BI, Tableau: Visualization and reporting
IoT, Digital Twins: Operational intelligence and optimization
AI/ML Platforms: Predictive and prescriptive analytics

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