Home Jobs Master Data Management Data Architect
Back to Jobs

Master Data Management Data Architect - Job Opportunity at Amgen

Hyderabad, India
Full-time
Mid-level
Posted: May 30, 2025
On-site
USD 85,000 - 120,000 per year based on mid-level experience requirements, Hyderabad market conditions, and Amgen's position as a premium employer in the biotechnology sector

Benefits

Competitive and comprehensive Total Rewards Plans aligned with local industry standards providing above-market compensation packages
Professional development opportunities within a global biotechnology leader fostering continuous learning and skill advancement
Collaborative and innovative work environment recognized for award-winning culture promoting cross-functional teamwork
Mission-driven work contributing to life-saving treatments for serious illnesses offering exceptional purpose and meaning
Career transformation opportunities within a pioneering biotech company with 40+ years of industry leadership
Inclusive workplace fostering diverse perspectives and ethical practices supporting long-term career growth

Key Responsibilities

Architect and design enterprise-scale Master Data Management solutions that serve as the foundational data infrastructure for a global biotechnology leader impacting millions of patients worldwide
Lead cross-functional collaboration with international teams including MDM Developers, Data Architects, Product teams, and Business SMEs to deliver mission-critical data solutions across multiple geographic regions
Drive strategic data governance initiatives and quality assurance processes ensuring regulatory compliance and data integrity for pharmaceutical operations
Spearhead the design and implementation of complex data pipelines and ETL/ELT processes supporting real-time business intelligence and decision-making capabilities
Provide technical leadership and subject matter expertise for MDM platform optimization, including solution architecture and system integrations that enable scalable data operations
Establish and maintain comprehensive data modeling frameworks spanning conceptual, logical, and physical structures that support enterprise-wide data strategy
Champion data security and privacy implementation protecting sensitive healthcare and research data in compliance with global regulatory standards
Deliver innovative cloud-based data solutions leveraging AWS infrastructure to build scalable, efficient, and cost-effective data management platforms

Requirements

Education

Master's degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor's degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience

Experience

1 to 9 years depending on education level, with preferred 2 to 3 years of experience as an MDM developer

Required Skills

Expertise in architecting and designing Master Data Management (MDM) solutions Practical experience with AWS Cloud, Databricks, Apache Spark, workflow orchestration, and optimizing big data processing performance Familiarity with enterprise source systems and consumer systems for master and reference data, such as CRM, ERP, and Data Warehouse/Business Intelligence Strong proficiency in SQL Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Good understanding of data modeling, data warehousing, and data integration concepts Experience with development using Python, React JS, cloud data platforms Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Strong presentation and public speaking skills

Certifications

Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The pharmaceutical and biotechnology industry is experiencing unprecedented digital transformation driven by regulatory requirements for data integrity, real-time analytics for drug discovery, and the need for integrated patient data management systems. Master Data Management has become critical for ensuring compliance with FDA 21 CFR Part 11, EMA guidelines, and other global regulatory frameworks that require comprehensive data lineage and audit trails. Cloud adoption in healthcare and life sciences is accelerating rapidly, with AWS, Azure, and Google Cloud specifically developing HIPAA-compliant and GxP-validated services. Organizations are migrating from on-premises legacy systems to cloud-native architectures to improve scalability, reduce costs, and enable real-time collaboration across global research teams. The convergence of artificial intelligence, machine learning, and pharmaceutical research is creating massive demand for high-quality, well-governed master data. Companies are investing heavily in MDM platforms that can support AI/ML initiatives for drug discovery, clinical trial optimization, and personalized medicine approaches. Data governance and privacy regulations including GDPR, CCPA, and emerging healthcare-specific legislation are driving organizations to implement robust master data management frameworks. The cost of non-compliance can reach millions of dollars, making MDM architects essential for risk mitigation and regulatory adherence.

Role Significance

Typically leads or collaborates with teams of 5-12 professionals including data engineers, developers, analysts, and business stakeholders across multiple geographic regions, requiring strong coordination and communication skills
This role represents a strategic mid-to-senior level position with significant technical leadership responsibilities and cross-functional influence. The architect will serve as a subject matter expert driving enterprise-wide data strategy and will likely report to senior data leadership while mentoring junior team members.

Key Projects

Implementation of enterprise-wide Master Data Management platforms supporting global pharmaceutical operations and regulatory compliance Migration of legacy data systems to cloud-native architectures enabling real-time analytics and improved scalability Development of integrated data pipelines supporting drug discovery research, clinical trials, and regulatory submissions Establishment of data governance frameworks ensuring data quality, security, and compliance across multiple therapeutic areas

Success Factors

Deep understanding of pharmaceutical industry regulations and compliance requirements combined with technical expertise in modern data architecture patterns and cloud technologies Exceptional ability to translate complex business requirements into scalable technical solutions while maintaining focus on data quality, security, and regulatory compliance Strong cross-cultural communication and collaboration skills essential for working effectively with global teams across different time zones and cultural contexts Continuous learning mindset to stay current with rapidly evolving cloud technologies, data management best practices, and pharmaceutical industry trends Strategic thinking capability to design data solutions that can scale with business growth and adapt to changing regulatory requirements

Market Demand

Very High - The intersection of healthcare digitization, regulatory compliance requirements, and cloud migration initiatives is creating exceptional demand for MDM architects with pharmaceutical industry experience

Important Skills

Critical Skills

Master Data Management expertise is absolutely essential as this forms the core foundation of the role, with Informatica MDM and Reltio MDM being the primary platforms used in pharmaceutical environments for managing complex data relationships and ensuring regulatory compliance AWS Cloud proficiency represents a strategic competitive advantage as pharmaceutical companies increasingly migrate to cloud infrastructure for improved scalability, cost efficiency, and global collaboration capabilities SQL and data modeling skills are fundamental for designing robust data architectures that can support complex pharmaceutical data relationships including molecular structures, clinical trial data, and regulatory submissions Understanding of enterprise systems integration is crucial for connecting diverse pharmaceutical applications including Laboratory Information Management Systems (LIMS), Electronic Data Capture (EDC) systems, and regulatory submission platforms

Beneficial Skills

Python and Apache Spark expertise provides significant value for advanced analytics, machine learning applications in drug discovery, and processing large-scale genomic and clinical datasets Databricks certification demonstrates proficiency with modern analytics platforms increasingly used for pharmaceutical research and development initiatives React JS and modern web development skills enable creation of user-friendly interfaces for data management tools used by researchers and regulatory affairs professionals Data governance and compliance knowledge specific to pharmaceutical regulations (GxP, FDA 21 CFR Part 11) enhances ability to design systems that meet stringent industry requirements

Unique Aspects

Opportunity to contribute directly to life-saving pharmaceutical research and development with measurable impact on patient outcomes worldwide
Exposure to cutting-edge biotechnology data challenges including genomics, clinical trials, and regulatory compliance unique to the pharmaceutical industry
Access to Amgen's extensive global network of research facilities, partnerships, and industry expertise spanning four decades of biotechnology innovation
Integration of advanced cloud technologies with highly regulated pharmaceutical environments requiring specialized security and compliance expertise

Career Growth

Typical progression to senior architect roles within 2-3 years, management positions within 3-5 years, and executive roles within 5-8 years based on performance and continued skill development

Potential Next Roles

Senior Data Architect or Principal Data Architect roles with expanded scope covering multiple therapeutic areas and global operations Data Engineering Manager or Data Governance Manager positions with people leadership responsibilities and broader organizational impact Solutions Architect or Technical Lead roles within pharmaceutical technology consulting firms serving multiple industry clients Chief Data Officer or VP of Data Strategy positions within mid-sized biotechnology companies seeking to establish enterprise data capabilities

Company Overview

Amgen

Amgen stands as one of the world's largest independent biotechnology companies with over 40 years of pioneering experience in developing life-saving treatments for serious illnesses. Founded in 1980, the company has established itself as a global leader in biotechnology innovation with a robust pipeline focusing on oncology, inflammation, general medicine, and rare diseases.

Amgen holds a premier position in the global biotechnology sector with annual revenues exceeding $25 billion and a strong presence in over 100 countries worldwide. The company consistently ranks among the top biotechnology employers and maintains a reputation for scientific excellence and innovation leadership.
The Hyderabad office represents Amgen's significant investment in India's growing biotechnology and IT services sector, serving as a key hub for data management, IT operations, and support services for global operations. This location offers exposure to international projects while benefiting from India's strong technical talent pool.
Amgen maintains an award-winning collaborative culture that emphasizes scientific rigor, innovation, and patient-focused mission. The organization promotes cross-functional teamwork, continuous learning, and provides extensive opportunities for professional development within a global biotechnology leader.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.