Lead Data Architect for Pharma: Data Warehousing & Cloud

Tech Mahindra; Stevenage; On-site; GBP 90,000 - 130,000; Full time

Job summary

Tech Mahindra is seeking an experienced Data Architect to design enterprise data architectures, data models, and integration frameworks across cloud and on-premise environments in the Pharma/Life Sciences domain.

You will lead end-to-end data projects, drive data governance, and work with stakeholders to translate complex requirements into scalable data solutions leveraging Azure, AWS, or GCP.

Qualifications

• 8+ years in Data Architecture/Modelling with hands-on Erwin/ER Studio experience.
• 5+ years Pharma/Life Sciences data experience including LIMS.
• Experience delivering end-to-end Life Sciences data projects.
• Cloud experience with Azure/AWS/GCP.

Responsibilities

• Design and maintain enterprise data architectures, data models, schemas, and integration frameworks.
• Develop scalable data warehouse, data lake, and cloud-based data solutions.
• Lead data migration, ETL/ELT, data quality, and data integration initiatives.
• Define and enforce data governance, metadata, security, and compliance standards.
• Optimize data storage, performance, and accessibility across cloud and on-premise environments.
• Collaborate with business and technical stakeholders to translate requirements into robust data solutions.
• Provide architectural recommendations and improve existing data management frameworks.

Skills

Data Architecture

Data Modelling

Data Warehousing

Data Lakes

ETL/ELT

Enterprise Big Data Platforms

Pharma/Life Sciences domain

R&D data

LIMS

Cloud platforms (Azure/AWS/GCP)

Data Governance

Metadata Management

Data Security

Data Quality

Stakeholder Communication

Tools

Erwin

ER/Studio

Job description

Tech Mahindra is seeking an experienced Data Architect to design enterprise data architectures, data models, and integration frameworks across cloud and on-premise environments in the Pharma/Life Sciences domain.

You will lead end-to-end data projects, drive data governance, and work with stakeholders to translate complex requirements into scalable data solutions leveraging Azure, AWS, or GCP.