Lead Data Platform Engineer
At a glance
Senior Data Engineering role at LIGENTEC. Ecublens · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and improve the central lakehouse and pipelines that bring operational, fab and product-quality data together
- Create and maintain secure internal data applications and Python services using FastAPI
- Run application deployments, PostgreSQL databases and GitLab delivery pipelines, including their security settings
- Set the enterprise data and automation roadmap, coordinating infrastructure plans with IT and data agreements with partners
- Set software guidelines and project templates, and roll out dashboards, automation and AI-assisted developer tools
What you bring
- Senior- or lead-level experience owning production data platforms and end-to-end pipelines
- Advanced Python skills, plus experience with a modern pipeline orchestrator and analytical databases such as PostgreSQL or DuckDB
- Practical experience building secure APIs with FastAPI and managing PostgreSQL, Docker-based deployments and GitLab CI/CD
- Experience deploying AI coding tools, LLM-based documentation systems and dashboard platforms
Who this fits
This senior technical leadership role suits someone who can own platform architecture while setting engineering practices and guiding technical roadmaps. English is the working language, and other languages are a plus. The role is based in Lausanne, with home working available for up to two days each week.
From the employer
About us
We're a multicultural team of experts pushing the boundaries of what's possible in integrated optics. Our mission is to make photonic integration accessible and industrially scalable. We deliver best-in-class PIC platforms, design enablement, and integrated solutions that empower our customers to innovate faster and bring light-based technologies from concept to production.
About the role
As a Lead Data Platform Engineer, you will drive the architecture, development, and scaling of LIGENTEC’s enterprise data platform and champion software engineering excellence across the organization. Bridging modern data engineering, full-stack application design, and automated DevOps workflows, you will own the end-to-end data infrastructure that connects operational, foundry, and quality analytics. In this high-impact technical leadership position, you will define the technology roadmap, deploy modern data and AI-driven tooling, and empower interdisciplinary teams to transform complex semiconductor and photonics data into scalable business intelligence.
Key Responsibilities
* Data Architecture & Lakehouse Engineering: Architect, build, and optimize scalable ETL/ELT pipelines and our central data lakehouse; ensure seamless integration of operational, fab, and product quality datasets across cross-functional engineering teams.
* Internal Data Apps & Backend Services: Design, build, and maintain production-grade, secure full-stack internal data applications and REST APIs using Python and FastAPI.
* DevOps, Infrastructure & Database Management: Oversee application deployment using Docker Swarm and administer/tune scalable PostgreSQL database servers. Own company-wide GitLab CI/CD pipelines, security configurations, and modern developer infrastructure.
* Technical Leadership & Strategic Roadmap: Define and execute the roadmap for enterprise data and automation initiatives; establish reliable data contracts with external partners and align long-term infrastructure scaling in close partnership with IT.
* Software Standardization & Developer Experience: Elevate software craftsmanship and developer velocity across the company by setting coding guidelines, managing the developer handbook, and standardizing project templates.
* Modern Tooling & AI-Assisted Workflows: Deploy, support, and scale business dashboarding solutions, process automation initiatives, and next-generation developer tooling, including AI-assisted agentic coding workflows and internal AI documentation systems.
What you bring
* Proven Track Record: Solid background operating at a Senior or Lead level, with demonstrable ownership over complete data platform architectures and end-to-end data pipelines in production environments.
* Core Engineering & Data Stack: Advanced proficiency in Python, modern ETL/ELT pipeline orchestrators (Airflow, Dagster, Prefect, or similar), and analytical databases (PostgreSQL, DuckDB).
* API & Backend Development: Hands-on experience developing robust, secure backend services and APIs with FastAPI (full-stack or front-end UI experience for data tools is a strong plus).
* DevOps & Cloud/Containerization: Strong foundation in containerization (Docker, Docker Swarm), database administration/scaling for PostgreSQL, and automated CI/CD workflows using GitLab.
* Modern Developer Tools & AI: Hands-on experience utilizing and deploying AI agentic coding tools, LLM-based documentation servers, and modern dashboarding platforms to accelerate engineering workflows.
* Leadership & Collaboration: Proven capability in leading technical roadmaps, mentoring fellow engineers, driving software quality standards, and partnering effectively with cross-functional stakeholders and external partners.
What we offer
A dynamic role at the heart of the deep-tech revolution where your technical expertise directly impacts product adoption. You will join an international team of specialists, gain deep exposure to market-leading photonic applications, and shape how photonic integration is deployed worldwide.
Practicalities
Location: Lausanne, Switzerland.
Work percentage: 100%.
Languages: English is our working language, other languages are a plus.
Home office: up to two days per week.
Start date: As soon as possible.
We are an equal-opportunity employer and welcome applications from all backgrounds.
Please submit your application through our career page as soon as possible.
If you have any questions, reach out to Manal Mohamed, HR Business Partner, at manal.mohamed@ligentec.com
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