Technical Lead - Data Platform

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Technical Lead - Data Platform - Your future role?

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 organization.

You will report to the Data Platform & Engineering Product Line Manager.

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 FinOps 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 experience
• 7+ years of experience in Data / Platform / Software Engineering, including large-scale data platforms.
• Experience 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

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.