We are seeking a highly experienced Lead Data Engineer to join our Data Analytics and AI (DA&AI) team within Operations IT. This is a pivotal opportunity to drive technological innovation in one of the world’s leading pharmaceutical companies. You will take a hands-on leadership role in shaping the direction and execution of complex data engineering initiatives that directly impact business outcomes.
As a Lead Data Engineer, you will be responsible for aligning technology efforts with product and business strategy, bringing together multiple streams of expertise across Data Engineering, Software Engineering, Cloud Infrastructure, and AI/GenAI. This is a high-impact role that combines deep technical skills with strong leadership and strategic vision.
Key Responsibilities
- Technical Strategy & Vision. Collaborate with product managers, enterprise architects, and delivery leads to co-create the technical vision of products, ensuring it supports long-term business goals and adapts to evolving needs.
- Project Oversight & Delivery. Own the end-to-end technical delivery of projects from ideation through deployment by ensuring teams follow robust engineering practices, maintain high code quality, and deliver scalable, secure, and efficient data solutions.
- Team Leadership & Mentoring. Lead and mentor cross-functional engineering teams across domains such as Data Engineering, Cloud Infrastructure, and DevOps, fostering a culture of collaboration, innovation, and continuous improvement.
- Governance & Best Practices. Establish and enforce governance frameworks, coding standards, and risk management protocols. Guide teams in delivering products that meet performance KPIs and comply with data security and regulatory standards.
- Documentation & Architecture. Oversee the creation and maintenance of all technical documentation including architecture diagrams, data flow charts, and deployment runbooks to ensure transparency and knowledge sharing across teams.
- Data Compliance & Security. Champion best practices for data privacy, security, and regulatory compliance (e.g., GxP, GDPR). Ensure data solutions adhere to FAIR principles (Findable, Accessible, Interoperable, Reusable) to enhance usability and knowledge sharing.
- Operational Excellence. Work closely with DevOps and DataOps teams to implement CI/CD pipelines, infrastructure as code, and automated monitoring solutions. Promote reliability, performance, and maintainability across all systems.
Required Skills & Qualifications
- 12 to 15 years of experience in data engineering and software development, with a proven track record of leading large-scale projects.
- Deep expertise across Data Engineering, Cloud Computing, Software Development, and AI/ML pipelines.
-
Extensive hands-on experience with
-
Snowflake for cloud-based data warehousing and analytics.
-
AWS ecosystem including services such as ECS, EKS, S3, Lambda, and Airflow.
-
DBT for data transformation and orchestration.
-
Programming languages Python, Java, and optionally Node.js.
-
CI/CD tools and processes including GitHub Actions, Jenkins, and Automation Testing.
-
- Strong understanding of DevOps, DataOps, and Agile/Scrum practices.
- Proficiency in both SQL and NoSQL data stores, data modeling, and performance optimization.
- Hands-on experience with containerization and orchestration tools like Kubernetes.
- Working knowledge of tools like JIRA, Confluence, and monitoring/logging systems.
Preferred Skills
- Exposure to AI/GenAI solutions and integration into data engineering workflows.
- Experience in regulated industries such as Pharmaceuticals, Healthcare, or Life Sciences.
- Background in building data solutions that support advanced analytics, predictive modeling, or real-time data processing.
Why Join Us?
This role offers the unique opportunity to be at the forefront of technological transformation in healthcare. You’ll be part of a dynamic, forward-thinking team committed to making a real difference in people’s lives by leveraging data and AI to drive operational excellence. If you are passionate about building scalable, intelligent data systems and leading talented engineering teams, we’d love to hear from you.