Snowflake Experts in Austria
matched in minutes with vetted, available freelancersHire experts who design cloud data platforms, build reliable ELT pipelines and optimize Snowflake warehouses for analytics and AI workloads. FRATCH connects you with precisely matched, vetted freelancers who are available to start quickly.
Meet FRATCH Experts in Austria, who have recently used Snowflake
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Immo M.
Last position:
Interim Manager/Management Consultant at Austrian regional energy supplier
Further development of the data analytics system landscape based on MS Power BI
- Concept and development of ETL processes, primary data source SAP IS/U incl. extraction via Theobald extractors to Azure Synapse, support with SAP S/4 conversion
- Support in the concept and development of data models in Azure Synapse Analytics
- Gathering and implementation of requirements in the data analytics area from internal business units
- Identification, documentation and analysis of existing as well as cross-functional processes
- Data definition, data modeling & preparation as well as source selection for merging data from differently structured data sources
- Design of reports and dashboards based on MS Power BI
- Transfer of reporting processes from existing structures to MS Power BI Premium (PPU)
- Hands-on development and implementation of analyses, reports and dashboards based on Microsoft Power BI
- Power Apps for write-back processes from Power BI Premium to Azure SQL DB
- Power BI support as part of the SAP S/4 conversion
- Cooperation with internal business units and external development partners
- Coaching/training, documentation, development processes
Benjamin A.
Last position:
Multi-Project Manager at Trading Company
- Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
- Backend modernization project (Budget ~€5M 2025 – 2026)
- Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)
Gerald G.
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
- Definition of modeling standards
- Creation of a conceptual and logical model for the entire Abu Dhabi government administration
- Definition of data quality and data security standards
Gasper Z.
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Statistics of experts using Snowflake
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.5 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Banking and Finance, Information Technology, Retail
Certification focus areas
Information Technology, Project Management, Operations
Bachelor's degree or higher
100%
Master's degree or higher
100%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria 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 Austria using Snowflake
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Snowflake 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 (83%)
- Information Technology (83%)
- Retail (67%)
- Transportation (50%)
- Manufacturing (50%)
- Professional Services (50%)
- Telecommunication (50%)
- Education (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Cloud data platform
Snowflake is a fully managed cloud data platform for storing, processing and sharing structured and semi-structured data. Its separation of storage and compute supports flexible workloads without maintaining database servers. Companies use it for enterprise analytics, reporting, data science and governed data access across teams.
Core architecture
Snowflake accounts are organized around databases, schemas, virtual warehouses and role-based access controls. Strong specialists configure warehouses for distinct workloads, manage resource monitors and design secure data sharing. They also work with Snowflake features such as streams, tasks, dynamic tables, Snowpark and external stages.
Ecosystem and tooling
Snowflake projects often connect the platform with cloud storage, business intelligence and orchestration tools. Relevant expertise includes:
- SQL, data modeling and dimensional warehouse design
- dbt for transformations, testing and documentation
- Airflow or other orchestration tools for scheduled pipelines
- Python, Snowpark and cloud services for advanced processing
- Tableau, Power BI or Looker for analytical consumption
Common project work
Freelance specialists help companies migrate from legacy warehouses, consolidate data sources and create trusted reporting layers. They build ingestion pipelines from applications, APIs and event systems, then apply transformations and quality checks. In Austria, this work can support manufacturing, financial services, retail and public-sector data teams without requiring every specialist to be on site.
When expertise matters
Companies usually bring in external Snowflake expertise during a migration, a platform redesign or a major analytics rollout. Typical signs include slow or expensive queries, unclear ownership of data models, unreliable loads or access rules that are difficult to audit.
- Plan a migration from Teradata, Oracle, SQL Server or another warehouse
- Improve warehouse sizing, query performance and workload isolation
- Establish governance, masking, tagging and role design
- Create tested data products for reporting or machine learning
What strong specialists deliver
A capable professional connects business questions with maintainable technical design. They clarify data ownership, document lineage and create repeatable deployment workflows rather than relying on manual changes. They understand cost controls, security and data quality, explain trade-offs clearly and can collaborate remotely or with an Austrian team on site when needed.
Frequently asked questions
Curious about Snowflake? Here are the answers that come up again and again.
Snowflake is used to store, transform and analyze data in the cloud. Companies use it for enterprise data warehouses, lakehouse-style workloads, reporting, data sharing and data science.
Snowflake is widely chosen for governed SQL analytics, structured warehousing and straightforward data sharing. Databricks often has a stronger focus on Spark-based processing, notebooks and machine learning workflows, although the two platforms can overlap in modern data architectures.
A strong Snowflake specialist should also understand SQL, dimensional modeling, cloud storage and data pipeline design. Experience with dbt, Airflow, Python, Snowpark, CI/CD and tools such as Tableau or Power BI is often valuable.
The right Snowflake experience depends on the scope. A focused reporting or modeling assignment may need a specialist with strong SQL and warehouse knowledge, while a migration or governance program calls for broader architecture, security and delivery experience.
Yes. Snowflake work is well suited to remote collaboration because development, documentation and cloud environments are accessible online. On-site workshops can still help with stakeholder alignment, especially when Austrian teams are defining governance or migration priorities.
Ask a Snowflake professional to explain a relevant architecture, including data modeling, workload isolation, security and cost controls. Review the clarity of their documentation, testing approach and migration plan rather than judging only by familiarity with product features.
Snowflake is a cloud data platform whose central capability is a scalable analytical data warehouse. It also supports data lakes, secure data sharing, application development and processing through features such as Snowpark.
Reliable Snowflake pipelines use clear ownership, repeatable orchestration, schema controls and automated tests. Good specialists also add monitoring, failure handling, lineage and alerting so teams can identify stale or incomplete data before it reaches business reports.
The average hourly rate of freelancers in Austria who have used Snowflake in their recent projects is 114 €, which corresponds to a daily rate of about 910 € based on an 8-hour working day.
Of the freelancers in Austria who have used Snowflake in their recent projects, 100% hold at least a Bachelor's degree and 100% hold at least a Master's degree.
On average, freelancers in Austria who have used Snowflake in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Austria who have used Snowflake in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Austria who have used Snowflake in their recent projects are Banking and Finance (83%), Information Technology (83%), and Retail (67%).
The most common business areas among freelancers in Austria who have used Snowflake in their recent projects are Information Technology (100%), Business Intelligence (83%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used Snowflake
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:
- Germany
- Austria
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Philipp Thomaschewski
FRATCH CEO
