Principal Data Engineer

Department: Enterprise AI (EAI) Global Business Services Enterprise IT & Quality

Location: Bangalore India

Your impact begins here

As Principal Data Engineer you will be the technical lead for the AIRE data engineering design and delivery teams helping strategize build & enable the data foundations that Novos commercial global manufacturing supply chain and corporate functions would need. You will combine deep engineering expertise with business understanding to shape requirements guide teams and vendors and raise the bar for data quality governance and engineering practices. Your work gives AI analytics and business teams data they can trust and act on today.

What youll bring

You are a hands-on engineering leader as comfortable reviewing code as shaping a strategic data foundational capability roadmap with business leaders. You will bring:

• Masters degree in Computer Science Statistics Engineering or a related field.
• 10 years of experience in data engineering data architecture and data product development designing and delivering large-scale complex data initiatives.
• Strong hands-on expertise in AWS Snowflake dbt Databricks Python SQL and GitHub Enterprise or Azure DevOps.
• Deep expertise in ETL/ELT design data modelling data warehousing and data lakes and streaming technologies such as Kafka and Event Hubs.
• A strong DataOps and DevOps background including Git CI/CD pipelines Docker and Kubernetes grounded in modern software development practices.
• Proven experience integrating data across platforms from multiple source-system types and formats including open table formats and interoperability.
• A solid grounding in automated testing data quality metadata lineage MDM catalogue and policy management security and production reliability including classifying and protecting data with native platform features.
• A demonstrated ability to mentor engineers influence technical direction partner with stakeholders and manage vendor delivery in cross-functional matrix teams.
• Highly proficient English and the ability to communicate clearly with people at all levels technical and non-technical.

Useful but not essential:

Experience in the pharmaceutical industry or another regulated industry.

What youll do

You will set the technical direction for how data is designed built governed and delivered and make independent decisions on the right approaches. You will:

• Design enterprise-scale data architectures data models storage strategies and integration patterns set standards for ingestion transformation and consumption and recommend the technologies that fit.
• Lead the development of robust batch and real-time ETL/ELT pipelines ensuring high data quality reliability and performance and resolving complex engineering issues.
• Provide hands-on technical leadership across AWS Snowflake dbt and Databricks run architecture and code reviews mentor data engineers and set standards and SOPs that link engineering to business value.
• Implement data governance frameworks ensure security privacy and regulatory compliance drive master data and data quality initiatives define metadata lineage and cataloguing strategies and support risk assessments and audits.
• Build data foundations feature stores and data products for AI ML and self-service analytics applying agentic development and AI-assisted engineering with appropriate validation and review.
• Optimise performance and cost implement observability and alerting and lead large-scale delivery managing risks and dependencies and setting clear expectations for vendor designs code testing documentation and operational readiness.
• Evaluate modern data stacks semantic technologies and DataOps practices using pragmatic prototypes to show where data creates measurable business impact.

Who youll work with

You will join the Bangalore office of Enterprise AI Reinvent & Engineering and be part of AI Data Solutions team where colleagues work with stakeholders across the value chain to deliver enterprise specific Data & AI use cases while enabling high quality and responsible ways of working.

You will work closely with the AI Reinvent & Engineerings (AIRE) core data engineering & data architect team respective domain teams within AIREs commercial manufacturing quality & corporate functions collaborate with AIREs AI Engineering team and central Data & AI Foundation team platform and enterprise architecture teams and data owners security and privacy specialists as well as vendors and external consultants. You will also technically lead and represent AIRE Data Solutions in discussions on data-driven insights and business capabilities.

Together you will clarify requirements align designs run architecture reviews escalate risks and dependencies and share knowledge across locations and time zones so priorities move forward with clarity and speed.

What you can expect here

You will be trusted to own technical decisions and to propose and execute new approaches to complex data challenges while upholding data governance and ethical standards. With work spanning commercial manufacturing supply chain and corporate data you will build a broad view of the Novo value chain.

You will be at the forefront of AI and technology as Novo upskills its entire workforce to advance AI as a main driver for innovation for the benefit of people living with serious chronic diseases. Your voice will shape roadmaps and standards and once a decision is made you will commit and move forward together.

Start now

Your impact begins today. If you are ready to technically lead the data foundations that help Novo turn data into decisions apply for the Principal Data Engineer role by 28 October 2026.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.