Senior Data Engineer – Data & AI Platforms

Novartis is hiring a Senior Data Engineer – Data & AI Platforms in Hyderabad, India. Level rates it ; you can apply on Novartis.

Level's read on this job

Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include RAG.
Level classifies it as a senior role.
Level lists 864 other open roles at Novartis.

AI in this role

rag

Job Description Summary

#LI-Hybrid

Location: Hyderabad, India

Number of Openings: 4

Relocation Support: Yes

Imagine building the data foundations that power the next generation of artificial intelligence and digital innovation. As a Senior Data Engineer – Data & AI Platforms, you will play a pivotal role in designing and scaling enterprise-grade data platforms that enable advanced analytics, artificial intelligence, and business-critical insights. Working across cloud technologies, Snowflake, distributed processing, governance, and AI-enabled solutions, you'll transform complex data challenges into secure, high-performing, and reusable products. If you're passionate about modern data engineering, eager to work with cutting-edge technologies, and motivated by delivering real business impact, this is an opportunity to shape the future of data and AI at scale.

Job Description

Key Responsibilities

Design, build, and optimize scalable data pipelines using Amazon Web Services, Snowflake, Python, and Apache Spark.
Develop batch, event-driven, and distributed data processing solutions for enterprise-wide data products.
Deliver reliable, high-performance data platforms that support analytics, artificial intelligence, and business insights.
Implement data quality frameworks, monitoring, error handling, metadata management, and lineage capabilities.
Enable strong governance through data cataloging, access controls, auditability, and compliance standards.
Support artificial intelligence and machine learning initiatives through feature engineering and data pipeline development.
Build reusable data assets and automation solutions that accelerate delivery and operational efficiency.
Apply engineering best practices including version control, continuous integration, automated testing, and code reviews.
Collaborate with product owners, architects, business stakeholders, and platform teams to deliver trusted data solutions.
Mentor engineers and contribute to engineering standards, innovation, and technical excellence across the team.

Essential Requirements

7+ Years experience building modern data solutions using Snowflake, Structured Query Language, Python, Apache Spark, and cloud technologies.
Strong expertise in extract, transform, load and extract, load, transform processes, data modelling, orchestration, and performance optimization.
Hands-on experience with Amazon Web Services services including Glue, Simple Storage Service, Lambda, Step Functions, and workflow orchestration tools.
Experience implementing data governance, metadata management, lineage, compliance, and security controls using governance platforms.
Familiarity with artificial intelligence and machine learning technologies, including Generative Artificial Intelligence, machine learning operations, and automation concepts.
Experience applying continuous integration, continuous delivery, automated testing, version control, and cloud-native engineering practices.

Desirable Requirements

Experience supporting Generative Artificial Intelligence, Retrieval-Augmented Generation, or artificial intelligence-driven automation solutions.
Experience mentoring engineers and driving adoption of engineering best practices across teams.

Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message

Skills Desired

Analytics, Artificial Intelligence (AI), Data Engineering, Data Pipelines, Data Science, Emerging Technologies, Generative AI, Machine Learning (ML), Natural Language, Snowflake GenAI

How we rate this

Senior Data Engineer – Data & AI Platforms at Novartis rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Engineer – Data & AI Platforms is an open job at Novartis.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Hyderabad (Office).
The job was posted on September 15, 2026.
Seniority: senior.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAG

Also common in data engineer jobs at this level

SQL Databricks Azure Airflow Java Scala

Pay

Typical data engineer job: $147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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