Databricks Experts in Switzerland
matched in minutes from over 15,000 CVs with the power of AIHire experts who design lakehouse platforms, build reliable Spark and Delta Lake pipelines, and deliver governed analytics with Databricks SQL. FRATCH matches you quickly and precisely with vetted, available freelance professionals.
Meet FRATCH Experts in Switzerland, who have recently used Databricks
Arthur J.
Last position:
Principal AI Consultant & Founder at Modus Data GmbH
Independent Swiss data science and applied AI consultancy: strategy, architecture, and hands-on delivery of custom AI, LLM, and MLOps projects. Available for fractional advisory, architectural audits, and end-to-end project delivery.
Rui A.
Last position:
Business IT Project & Program Manager, Salesforce CRM, Retail market at MET Holding AG
- Defined and launched a major European digital transformation program, leading a six-bidder RFP, overseeing solution blueprint development and co-developing the business case, roadmap and multimillion budget. Secured board approval within five months.
- Built and led a multidisciplinary delivery organization of nearly 50 people at peak, spanning internal teams and three external partners. Defined responsibilities, allocated resources, set priorities and oversaw vendor performance, coordinating 200+ stakeholders.
- Led the two-year delivery of a common Salesforce CRM and digital sales portals across four EU subsidiaries, integrating local systems through MuleSoft Anypoint. Connected to Databricks for reporting, and embedded Databricks-based pricing and credit checks into the sales processes. Applied an Agile, business-first approach to evolving business needs, achieving adoption in France, Italy and Spain and business-validated technical go-live in Germany, within budget.
- Established a sustainable post-program ownership and support model: appointed a Business Analyst as Product Owner and coached him over two years to take full ownership of the solution and the digitalization strategy. Built the functional delivery team, brought one of its Functional Analysts in-house as the business-side Application Manager to oversee functional management and future enhancements, and recruited two Salesforce Admins into Group IT for country-level user support and day-to-day technical operations.
- Enabled further group-wide expansion through a reusable, scalable platform, securing board approval for a rollout to Czechia & Poland. Initiated both rollouts before completing the assignment.
Rainer S.
Last position:
Data Engineer | Data Analyst | Power BI Architect
Banking project
- Analyzed and built a report store with the related data integration workflows.
- Developed and optimized T-SQL stored procedures and SSIS packages for data preparation and loading.
- Developed Power BI reports and delivered business reporting requirements.
Technologies: SQL Server, T-SQL, SSIS, Power BI, Visual Studio 2022, PowerShell, VBA, .NET
Matthias I.
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Karl E.
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Discover over 15,000 top freelancers
Statistics of experts using Databricks
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
2.5 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Banking and Finance, Information Technology, Education
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
83%
Doctorate
17%
Certifications per freelancer
5
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 11 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Switzerland are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Switzerland using Databricks
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 11 Nov 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Databricks experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (100%)
- Information Technology (100%)
- Education (50%)
- Healthcare (50%)
- Manufacturing (50%)
- Professional Services (50%)
- Government and Administration (50%)
- Telecommunication (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Lakehouse foundations
Databricks is a cloud data and AI platform built around the lakehouse architecture. It combines scalable data storage with data engineering, analytics, machine learning and governance in one workspace. Teams use it to turn raw data into trusted datasets, dashboards, predictive models and production data products.
Core technologies
The platform runs on Apache Spark and commonly uses Delta Lake for reliable tables, schema control, version history and transactional updates. Databricks SQL supports warehouse-style analysis, while Unity Catalog manages access, lineage and discovery across data and AI assets. Strong specialists also work with Python, SQL, Scala, notebooks, workflows and REST APIs.
Typical delivery work
- Design bronze, silver and gold data layers with Delta Lake
- Build batch and streaming pipelines with Apache Spark
- Configure Databricks Workflows, jobs, alerts and deployment processes
- Create Databricks SQL warehouses, dashboards and semantic datasets
- Prepare feature pipelines and machine learning workloads with MLflow
Databricks projects often connect cloud storage, business applications, event streams and enterprise reporting. Experts may also implement data sharing, vector search, model serving or lakehouse monitoring when the platform supports AI use cases.
When companies need help
Companies bring in freelance Databricks specialists when a lakehouse needs a clear architecture, pipelines are slow or unreliable, or several teams need secure access to shared data. They are also valuable during cloud migrations, legacy warehouse modernisation, governance rollouts and preparation for machine learning in production. In Switzerland, collaboration may involve local stakeholders alongside distributed delivery teams, with clear communication in the required business languages.
What strong specialists deliver
A capable professional goes beyond notebook code. They choose suitable partitioning, file formats and cluster settings, design idempotent pipelines, control compute usage and test data quality at each stage. They understand how Delta Lake features, Spark execution, Unity Catalog permissions and cloud infrastructure affect one another. Their deliverables include documented architecture, maintainable code, deployment automation, monitoring and practical handover material.
Selecting the right expert
- Ask for examples of Databricks lakehouse work similar to your data volume and cloud environment
- Check whether the specialist can explain Spark performance decisions in business terms
- Confirm experience with Unity Catalog, security, lineage and data quality controls
- Review how they test, deploy and monitor workflows after the initial build
- Clarify availability, remote collaboration habits and access requirements
The best fit depends on the outcome: a migration needs different depth from a streaming platform or an ML delivery. A focused brief covering sources, consumers, governance, cloud setup and operational ownership helps identify the right skills quickly.
Frequently asked questions
Questions about Databricks? Start with the answers below.
Databricks is used to ingest, transform and analyse data at scale, then apply machine learning or AI to trusted datasets. Companies use it for lakehouse platforms, streaming pipelines, reporting, data sharing and production model workflows.
Databricks combines data lake flexibility with warehouse-style analytics through Delta Lake and Databricks SQL. A traditional warehouse may be simpler for focused reporting, while Databricks is often chosen when one environment must support engineering, streaming, analytics and machine learning.
A strong Databricks specialist usually brings Apache Spark, Python or Scala, SQL, cloud storage and orchestration experience. Knowledge of Delta Lake, Unity Catalog, Terraform, CI/CD, MLflow and data quality practices is also useful.
The right level depends on the work, not on the platform name alone. A focused SQL or pipeline task may need a narrower specialist, while a lakehouse redesign, migration or governance programme calls for someone who can make architecture and operational decisions.
Databricks work is often suitable for remote collaboration because code, notebooks, workflows and cloud environments are shared digitally. On-site sessions can still help with discovery, security reviews and stakeholder alignment, especially when Swiss teams need close coordination or specific language skills.
Databricks can support both growing data teams and complex enterprise environments. Its value depends on the need for shared data engineering, analytics, governance or AI workflows; a specialist should first confirm that the platform fits the organisation’s scale and operating model.
Ask a Databricks expert to explain a comparable delivery, including data modelling, Spark performance, testing, permissions and monitoring. Good answers connect technical choices to reliability, maintainability, security and the needs of the people who will operate the system.
Databricks assignments can range from hands-on pipeline delivery to lakehouse architecture and platform governance. Professionals should be ready to work across cloud infrastructure, data consumers and security teams, while documenting decisions and making workflows maintainable for the client’s internal specialists.
The average hourly rate of freelancers in Switzerland who have used Databricks in their recent projects is 122 €, which corresponds to a daily rate of about 977 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Databricks in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Switzerland who have used Databricks in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Switzerland who have used Databricks in their recent projects are English (100%), German (83%), and French (50%).
The most common industries among freelancers in Switzerland who have used Databricks in their recent projects are Banking and Finance (100%), Information Technology (100%), and Education (50%).
The most common business areas among freelancers in Switzerland who have used Databricks in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (67%).
Main locations of FRATCH Experts, who have recently used Databricks
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
Zurich Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
