Senior Manager, Data and Analytics Architect @ Merck Sharp

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Senior Manager, Data and Analytics Architect

Merck Sharp
5 - 8 years
Hyderabad
2 months ago
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Job Description

Role Overview

We are seeking a highly motivated and hands-on Data & Analytics Architect to join our Strategy & Architecture team within CDNA. This mid-level role will play a critical part in designing scalable, reusable, and secure data and analytics solutions across the enterprise. You will work under the guidance of a senior architect and be directly involved in the implementation of architectural patterns, reference solutions, and technical best practices. This is a highly technical role, ideal for someone who enjoys problem-solving, building frameworks, and working in a fast-paced, collaborative environment.

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.

Job Classification

Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics,
Role Category: Business Intelligence & Analytics
Role: Business Intelligence & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Merck Sharp
Location(s): Hyderabad

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Keyskills: Computer science CVS metadata Data modeling Healthcare Informatica Information technology Analytics SQL Python

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Merck Sharp

MSD operates its human health business in India through three separate legal entities: MSD Pharmaceuticals Private Limited, Organon (India) Private Limited, and Fulford (India) Limited. Since its existence in India, the company has moved quickly in laying the foundation for a business that is differ...

Senior Manager, Data and Analytics Architect @ Merck Sharp

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