Senior Data Engineer (Databricks)
Artefactlinkedin is hiring for the position of Senior Data Engineer (Databricks) in Lausanne, Vaud, United States. It is listed as a full-time, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Artefactlinkedin is hiring for the position of Senior Data Engineer (Databricks) in Lausanne, Vaud, United States. It is listed as a full-time, senior position.
Skills and tools named in the text include Python, SQL, Spark, Snowflake, dbt, Databricks, AWS and Azure.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to United States for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 10, 2026.
- Employer
- Artefactlinkedin
- Location
- Lausanne, Vaud, United States
- Job type
- Full-time
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Found
- Nov 10, 2026 on Arbeitnow
- Employer text
- 391 words, about 2 min to read
- Apply only on the official page (arbeitnow.ch). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, SQL, Spark and Snowflake) in your CV where you really have them; applicant tracking systems look for these words.
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- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
- H-1B specialty occupation: Employer petition, bachelor's degree or higher in the specialty; annual cap and lottery
- L-1 intracompany transferee: Employees of a related company abroad transferring to a US office
- O-1 extraordinary ability: Evidence of extraordinary ability in sciences, arts, education, business or athletics
Official routes: USCIS
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
Who is Artefact? Artefact is a next-generation strategy and data consulting firm that transforms organizations through data and AI. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. From our Lausanne and Zurich offices, we help leading Swiss and international companies turn data and AI into measurable results, working with the leading data platforms, including Databricks.
Main Responsibilities You will design and deliver the data platforms our clients run their business and their AI on, combining hands-on engineering with client advisory.
- Build modern data platforms: End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost.
- Engineer pipelines: Batch and streaming pipelines with Python, Spark, and SQL, with data quality built in.
- Migrate and modernize: Move legacy warehouses and ETL to the cloud, from assessment to cut-over.
- Make data ready for AI: Governed data products and semantic layers that analytics and AI agents can rely on.
- Run it properly: Data governance, CI/CD, infrastructure as code, monitoring, and cost control.
- Advise and support: Translate business needs into roadmaps, coach junior engineers, and support proposals.
Candidate Profile Engineer first, consultant second, with a track record of shipping to production.
- 5+ years in data engineering, including hands-on Databricks experience in production.
- Expert Python and SQL, with strong Spark and data modeling skills.
- Databricks Data Engineer Professional certification, or a commitment to obtain it within 6 months (we support you).
- Experience on Azure, AWS, or GCP, plus DataOps (Git, CI/CD, Terraform, testing).
- Strong consulting skills: requirements gathering, documentation, stakeholder management.
- Fluent English plus French or German (both is a plus); eligible to work in Switzerland.
Nice to have: Experience with other data platforms (Snowflake, Microsoft Fabric, BigQuery), dbt, MLOps, and industry experience (consumer goods, pharma, logistics, insurance, manufacturing).
01Why Join Us
- Strategy with a Data Edge: Build the platforms behind boardroom priorities.
- Swiss Impact: High visibility from day one on flagship programs, working directly with senior leadership.
- Strong Tech Ecosystem: Certified peers across Artefact and close partnerships with leading data and cloud platforms.
- Growth and Culture: Certifications, training, international missions, and a team of doers who move fast and support each other.
If you don’t meet 100% of the criteria, we still want to hear from you. Tell us about your passion, curiosity, and impact.
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