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Data & AI Engineering Specialist

HYDERABAD (IN)HYBRIDPOSTED: 7/4/2026
PHARMAFull-time
HIRING ORGANIZATIONSANOFIPharmaceuticals / Biotechnology
Sanofi

ROLE DEFINITION & RESPONSIBILITIES

The Data & AI Engineering Specialist is a hands-on technical role within Sanofi's Platform Engineering organization, responsible for designing, building, and maintaining AI-ready data pipelines and infrastructure that power breakthrough discoveries and improve patient outcomes. This specialist contributes to the implementation of Sanofi's AI-Ready Data framework, ensuring data is well-understood, trusted, secure, and accessible for enterprise-wide AI consumption. The role operates at the intersection of data engineering, data governance, and AI enablement in a global, regulated biopharma environment.

What You’ll Do

Execute technical implementation of Sanofi's AI-Ready Data framework, ensuring data assets meet quality, trust, security, and accessibility standards for AI consumption
Design and build end-to-end data pipelines supporting both structured and unstructured data for GenAI and next-generation AI applications
Develop and maintain automated data preparation workflows using AI agent tooling, to enable enterprise-wide AI adoption
Implement and maintain data governance processes, including metadata management and data cataloguing
Maintain and curate metadata assets including data lineage, dictionaries, and catalogs; validate AI-generated metadata suggestions and manage metadata-as-code artifacts
Implement compliance-as-code policies and automated access governance to ensure data security and compliance with GDPR, HIPAA, and other regulatory requirements; audit AI agent data access patterns
Maintain documentation-as-code for data processes, models, and flows; validate auto-generated documentation to ensure audit-ready records in regulated environments
Support stewardship workflows within governance platforms and collaborate with business stakeholders on data ownership
Leverage automated observability tools and AI agents to monitor data catalog health; triage alerts and drive remediation across business units
Collaborate with cross-functional teams globally to integrate data solutions with AI and data marketplace platforms
Apply data quality engineering practices to identify, remediate, and prevent data quality issues in production environments
Contribute to technical documentation, standards, and best practices for data engineering within the team
Participate in code reviews, technical design discussions, and continuous improvement initiatives

REQUIRED VERIFIED SKILLS

Python
SQL
Apache Spark
dbt
Airflow
Snowflake
AWS
Azure
GCP
Informatica CDGC
Data Governance
Metadata Management

COMPENSATION & REWARDS

Salary: Competitive / Disclosed upon candidate shortlisting
Compensation aligns with premium multinational pharmaceutical standards for senior engineering talent in Hyderabad, factoring in comprehensive global health and wellness benefits.

ORGANIZATION CONTEXT & CULTURE

Sanofi is a global biopharmaceutical company dedicated to human health. It researches, develops, manufactures, and markets innovative therapeutic solutions with a focus on specialty care, vaccines, general medicines, and consumer healthcare products. The company aims to prevent and treat a wide range of diseases worldwide.

TEAM SIZE: Approximately 90,000 employees
INDUSTRY: Pharmaceuticals / Biotechnology

EXPECTED CAREER ROADMAP

Offers substantial vertical and horizontal progression into enterprise architecture, data strategy, or specialized AI engineering leadership within a global AI-first biopharma organization.

APPLICATION ADVISORY

Highlight extensive hands-on experience building production-grade data pipelines, working with modern cloud platforms (Snowflake/AWS), and deploying compliance-as-code paradigms.
RECOMMENDED TRAINING
1/5
GCP Audit & Compliance Crash Course

GCP Audit & Compliance Crash Course

READY TO SUBMIT?

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