Associate Director, Solution Architecture (India)

Msd; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

MSD is hiring Associate Director, Solution Architecture in Hyderabad to design, deliver, and govern enterprise-grade analytics solutions across RD. You will champion reusable data products, canonical models, and secure analytics architectures, enabling scalable decision-making within a global biopharma context.

You will collaborate with data stewards, domain leads, and enterprise teams to drive platform adoption, ensure regulatory traceability, and govern ML workflows while guiding platform

Qualifications

• 10 years in data/analytics architecture with at least 5 years in solution architecture.
• Deep domain knowledge of drug discovery, preclinical, and clinical processes.
• Experience with enterprise data architectures: data lakes/warehouses, ELT/ETL, semantic layers.
• Proficiency with cloud data platforms using AWS for transformation and modeling.
• Experience implementing data governance, metadata management, lineage, and access controls.

Responsibilities

• Define and maintain enterprise reference architectures, standards, and reusable patterns for RD analytics.
• Drive platform-level decisions and technology selections that maximize reuse.
• Partner with RD domain leads, data stewards, and teams to align analytics roadmaps.
• Design canonical data models and semantic layers for consistent analytics across datasets.
• Create patterns for reusable ETL/ELT pipelines, metadata catalogs, and data quality frameworks.
• Architect infrastructure to support regulated analytics and ML workflows with governance.
• Collaborate with InfoSec, privacy, and quality teams to implement organization-wide controls.
• Provide technical leadership to platform engineering and integration teams.
• Establish centralized monitoring and incident response with RD stakeholders.
• Evaluate emerging technologies and run enterprise-level pilots.

Skills

Databricks

RD Life Science

Pharma background

Data Analytics

Data Platform

AWS

Python

SQL

R

Spark

Kubernetes

Airflow

GitHub Actions

Data governance

Education

Bachelor's or Master's degree

Tools

Databricks

Delta Lake

Unity Catalog

AWS

S3

Redshift

Kubernetes

Airflow

Job description

Job Description

Associate Director , Solution Architecture

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 recent 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 worlds greatest health threats.

Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

Role Overview

We aspire to be the premier research-intensive biopharmaceutical company. As a member of our central Data Analytics team, you will design, deliver, and govern enterprise-grade data analytics solutions and reusable data products that accelerate decision-making across our research development division. Join us to translate scientific needs into scalable, secure, compliant analytics architectures, and champion standards, reuse, and platform adoption across RD.

What will you do in this role

• Define and maintain enterprise reference architectures, standards, and reusable patterns for RD analytics (data ingestion, storage, processing, modeling, serving, visualization).
• Drive platform-level decisions and technology selections that maximize reuse and minimize duplication across RD sub-domains.
• Partner with RD domain leads, data stewards, and functional teams to align analytics roadmaps and prioritize capabilities.
• Design canonical data models, shared data products, and semantic layers that enable consistent analytics across discovery, preclinical, and clinical datasets.
• Create patterns and templates for reusable ETL/ELT pipelines, metadata catalogs, and data quality frameworks to ensure consistency and regulatory traceability.
• Architect infrastructure and patterns to support regulated analytics and ML workflows centrally (model governance, registries, feature stores, reproducible pipelines) while enabling domain-specific experimentation.
• Collaborate with enterprise InfoSec, privacy, and quality teams to implement organization-wide controls (GxP, 21 CFR Part 11 where applicable, GDPR/HIPAA, audit logs) across RD analytics solutions.
• Provide technical leadership to platform engineering and integration teams delivering central services; define non-functional requirements, SLAs, and runbooks.
• Establish centralized monitoring, observability, and support models and coordinate incident response with RD stakeholders.
• Evaluate emerging technologies and patterns for central adoption (federated learning, synthetic data) and run enterprise-level pilots.

What should you have

Primary Skill: Data Bricks, RD Life Science, Pharma background, Data Analytics, Data Platform and AWS

• Bachelors or Masters degree in Computer Science, Data Science, Bioinformatics, Computational Biology, Engineering, or related field.
• 10 years in data/analytics architecture or engineering with at least 5 years in solution architecture.
• Deep domain knowledge of drug discovery, preclinical, and clinical processes.
• Deep experience with enterprise data architectures: data lakes/warehouses, ELT/ETL patterns, streaming, semantic layers, and canonical modeling.
• Proficiency with cloud offerings for data transformation and modeling.
• Familiarity with AWS services including S3, Redshift, Lambda, and IAM for cloud-native data architecture.
• Working knowledge of capabilities for enterprise reporting and Conversational BI.
• Deep expertise with Databricks including Delta Lake, Unity Catalog.
• Proficiency in Python, SQL, and R; familiarity with Spark, Kubernetes, and workflow orchestration tools such as Airflow.
• CI/CD experience for data platforms using GitHub Actions.
• Experience implementing data governance, metadata management (catalogs), lineage, data quality, and access-control .