MSD Senior Manager Data Analytics Architect 

India, Telangana, Hyderabad 

888798590

Job Description

The Opportunity

• Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
• Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
• Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.

What will you do in this role

• Partner with senior architects to define and implement modern data architecture patterns and reusable frameworks.
• Design and develop reference implementations for ingestion, transformation, governance, and analytics using tools such as Databricks (must-have), Informatica, AWS Glue, S3, Redshift, and DBT.
• Contribute to the development of a consistent and governed semantic layer, ensuring alignment in business logic, definitions, and metrics across the enterprise.
• Work closely with product line teams to ensure architectural compliance, scalability, and interoperability.
• Build and optimize batch and real-time data pipelines, applying best practices in data modeling, transformation, and metadata management.
• Contribute to architecture governance processes, participate in design reviews, and document architectural decisions.
• Support mentoring of junior engineers and help foster a strong technical culture within the India-based team.

What should you have

• Bachelor’s degree in information technology, Computer Science or any Technology stream.
• 5–8 years of experience in data architecture, data engineering, or analytics solution delivery.
• Proven hands-on experience with Databricks (must), Informatica, AWS data ecosystem (S3, Glue, Redshift, etc.), and DBT.
• Solid understanding of semantic layer design, including canonical data models and standardized metric logic for enterprise reporting and analytics.
• Proficient in SQL, Python, or Scala.
• Strong grasp of data modeling techniques (relational, dimensional, NoSQL), ETL/ELT design, and streaming data frameworks.
• Knowledge of data governance, data security, lineage, and compliance best practices.
• Strong collaboration and communication skills across global and distributed teams.
• Experience with Dataiku or similar data science/analytics platforms is a plus.
• Exposure to AI/ML and GenAI use cases is advantageous.
• Background in pharmaceutical, healthcare, or life sciences industries is preferred.
• Familiarity with API design, data services, and event-driven architecture is beneficial.

What we look for

Current Contingent Workers apply

Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs

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