Data Architecture Lead for Pharma & Life Sciences (Cloud)

Tech Mahindra; England; On-site; GBP 90,000 - 120,000; Full time

Job summary

Tech Mahindra is seeking an experienced Data Architect with deep expertise in data modelling, data warehousing, data lakes, ETL/ELT, and enterprise data platforms within the Pharma/Life Sciences domain. The role requires hands-on experience and strong communication with both technical and business stakeholders.

Ideal candidates bring 8+ years in data architecture, 5+ years in pharma/Life Sciences, and proficiency with Erwin or ER Studio, plus cloud experience (Azure/AWS/GCP).

Qualifications

• 8+ years of experience in Data Architecture and Data Modelling.
• 5+ years of experience in the Pharma/Life Sciences industry, with R&D data and LIMS knowledge.
• Hands-on experience with Erwin and/or ER Studio.

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 Data Platforms

Cloud Platforms (Azure/AWS/GCP)

Data Governance/Quality

Communication

Tools

Erwin

ER Studio

Job description

Tech Mahindra is seeking an experienced Data Architect with deep expertise in data modelling, data warehousing, data lakes, ETL/ELT, and enterprise data platforms within the Pharma/Life Sciences domain. The role requires hands-on experience and strong communication with both technical and business stakeholders.

Ideal candidates bring 8+ years in data architecture, 5+ years in pharma/Life Sciences, and proficiency with Erwin or ER Studio, plus cloud experience (Azure/AWS/GCP).