# Principal Data Engineer

**Company**: GlaxoSmithKline (GSK)
**Location**: Bengaluru
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Principal-Data-Engineer_449281-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_01406e75-598

## Description

The Principal Data Engineer provides technical leadership for how product and process information is structured, connected and reused across digital products and manufacturing systems, with a particular focus on the digital product profile.

Responsibilities:

- Set up and maintain CI/CD pipelines and integration flows to move digital product profile data between PDLM and other systems.

- Ensure pipeline, integration and mapping code is kept under version control, automatically tested and peer-reviewed before release.

- Use approved AI tools and collaborate with AI and analytics teams to provision data pipelines, integrations, environments and access patterns.

- Own the design of data and integration services within enterprise architecture guardrails.

- Define environment promotion flows for data and integration services.

- Support releases and integrations end-to-end.

- Work with R&D and central ontology / knowledge-graph teams to implement and operate data and metadata structures.

- Design and support integration patterns between PDLM and key downstream systems.

- Make practical use of AI-assisted development, agent-based workflows and prompt templates for engineering, testing, documentation and support.

- Monitor and troubleshoot data pipelines, integrations, environments and related services.

- Document data flows, integration contracts, deployment patterns and runbooks.

- Coach engineers and analysts working on digital product profile, data and integration work.

- Drive continuous improvement in reliability, observability, performance and security for data and integration services.

Basic Qualifications:

- Bachelor's or master's degree in computer science, Information Technology, Software Engineering or a related discipline.

- Minimum 7 years’ experience in data engineering, integration engineering, DevOps or similar roles in complex enterprise or manufacturing environments.

- Experience in designing and delivering data and integration solutions spanning R&D, CMC and/or manufacturing domains.

- Experience in working with ontologies, controlled vocabularies or knowledge-graph technologies.

- Experience in enabling AI/ML or advanced analytics through well-designed datasets, features and integration points.

Preferred Qualifications:

- Apply analytical and troubleshooting skills applied to complex data and integration issues.

- Ability to explain data and ontology concepts in clear, accessible language to non-technical stakeholders.

- Regularly produces and maintains technical documentation.

- Working knowledge of secure configuration, least-privilege access, secret management and audit traceability.

- Experience collaborating across global product, engineering, quality, cyber and service teams.

## Skills

### Required
- Agile Methodology
- Cross-Functional Teamwork
- Data Analysis
- Design Thinking
- DevOps
- Prioritization
- Product Development Research
- Product Roadmapping
- Project Management
- Return on Investment (ROI)
- Software Development
- Strategy Deployment
- User Experience (UX)
- User Interface (UI) Design

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Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Principal-Data-Engineer_449281-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
