Technical Lead - Data Platform
As a Technical Lead for Data Platform, you will help build the enterprise Data Platform, with a focus on Snowflake, SQL, and Python. You will be a technical leader within the Data Platform & Engineering team, ensuring platform robustness, scalability, security, and cost efficiency, while mentoring engineers and enforcing engineering standards. You will sit at the intersection of architecture, engineering excellence, and delivery, supporting multiple business domains and data products across the will report to the Data Platform & Engineering Product Line Manager.
Your main responsibilities:Technical Leadership
Be the technical reference for the Data Platform, with 5+ years of experience in Snowflake, SQL, Python & DBT are a plus.
Establish platform engineering standards, best practices, and design patterns (data modeling, orchestration, security, and cost management)
Ensure technical quality, performance, scalability, and reliability of platform components and shared services.
Lead code reviews, design reviews, and architecture discussions.
Support and guide engineers on complex technical challenges (performance tuning, data pipelines, governance, and cost optimization)
Manage and evolve core platform capabilities (ingestion, transformation, orchestration, monitoring, and access control)
Delivery & Platform Evolution
Contribute to the data platform roadmap in collaboration with the Business, Architects, and other partners.
Anticipate platform needs based on upcoming business use cases.
Improve Fin
Ops and continuous improvement projects (automation, CI/CD, observability)
Ensure understanding of enterprise architecture, security, and compliance standards.
Participate in estimation, scoping, and technical risk assessment for new projects.
Mentoring & Team Enablement
Mentor Platform and Data Engineers
Support onboarding and upskilling of new team members.
Be the facilitator: animate technical workshops, share knowledge, promote fail fast / learn fast culture.
Foster collaboration with other Tech Leads, Architects, and Data Science teams
Encourage innovation and adoption of modern data engineering practices.
You have:Advanced degree in Engineering, Computer Science, Data, or equivalent experience7+ years of experience in Data / Platform / Software Engineering, including large-scale data as a Tech Lead or Senior Engineer on
AI / Agentic / Data Science: Interest in or hands-on experience with Agentic / Autonomous Systems
Background in Snowflake architecture and SQL performance optimization
Solid Python engineering skills (automation, data processing, platform tooling)
Experience across the full data lifecycle: ingestion transformation consumption.
Define standards, not just implement solutions.
Technical leadership
Problem anticipator
Curious about new data platform innovations and best practices
Why Join the Team
Work on a strategic enterprise Data Platform used across multiple business domains.
Role influencing architecture, standards, and platform direction.
Interaction with Data Governance, Architects, and Business leaders
Environment that values engineering excellence, autonomy, and continuous improvement
Our benefits:Learning and development programs to enhance your professional growth.
Flexible working arrangements and wellbeing plans.
A workplace that celebrates diversity, purpose, and authenticity – where you can be yourself and make a meaningful impact.
Bonus Payment#LI-Hybrid
At Givaudan, you contribute to delightful taste and scent experiences that touch people’s lives.
We value the different perspectives that come from diverse cultures, backgrounds, and experiences.
Everyone — regardless of race, gender identity, sexual orientation, age, disability, culture, religion, or any personal circumstances — is warmly welcomed at Givaudan, a place where we all love to be and grow.
Every essence of you enriches our world. Join us in making a difference together.
Job Summary
Job number: 118476Date posted : 2026-05-21Profession: Information Technology, Data & Analytics
Employment type: Regular