Snowflake Experts
matched in minutes by AIHire experts who design cloud data warehouses, build reliable ELT pipelines and optimize Snowflake costs and performance. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts who have recently used Snowflake
Florian R.
Last position:
Global Program Lead, Post-Acquisition Integration at [Client confidential]
Medical technology – Digital Technology | Medical imaging
- Integrated the acquired platform into clinical medical imaging processes, with an investment volume in the low double-digit m€ range
- Ensured interoperability of systems and processes across hospitals and outpatient facilities while customer operations continued; HL7, DICOM, Amazon S3 & Redshift, SharePoint, JIRA
- Led the programme across functions with product, technology and service teams, including cost control, synergy tracking and identification of further AI use cases in medical imaging
Mansharan K.
Last position:
MS Fabric | Power BI Consultant at Gropyus Technologies GmbH
- Architected an enterprise Fabric-based data-product governance framework, authoring data contracts and schema-validation KPIs to enforce completeness, freshness and SLA standards across reporting data products.
- Operationalized pipeline observability by integrating Dagster orchestration data into automated data-health reporting, proactively validating data integrity and pipeline reliability before production reporting layers refresh.
- Established BI-as-Code and end-to-end governance through Git-based version control, CI/CD and Alpha→GA release management, strengthening lineage, schema-drift detection and production change traceability.
Hachem S.
Last position:
Machine Learning & BI Lecturer at EU Business School
- Taught ML, BI, and Big Data to Master's students.
Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Sumalatha B.
Last position:
BC_CDR: Cloud Detection & Response | AI / Cybersecurity at Banyan Cloud
Real-time AWS threat detection using LLMs, UEBA, and vector analytics
- Built UEBA engine processing millions of CloudTrail/GuardDuty events to detect behavioural anomalies in real time.
- Integrated Amazon Bedrock LLMs for narrative threat analysis and structured automated incident summarisation.
- Designed vector embedding pipeline (MongoDB Atlas) for entity behaviour comparison and semantic anomaly detection.
Tech: Python, FastAPI, AWS, MongoDB Atlas, Amazon Bedrock, Pydantic, Motor (Async).
Mirza K.
Last position:
Agentic Automation and a RAG system
- This project involved extraction of intelligence data to support report writing for a company that provides geopolitical, global, commercial intelligence. The data have been gathered from a number of resources (interview transcripts, online data, internal documents), and then a knowledge base has been build from it. This was the basis of a complex RAG system, that was evaluated against a golden dataset. Agents have been used to find out the contradicting intelligence, the statements supporting each other, and to store back the generated knowledge.
Used: Python, RAG, LangGraph, LangChain, deepeval, MCP
Chisom N.
Last position:
Founder & Analytics Engineer
- Client — Podimo ApS (podcast & audiobook streaming): build the finance reporting layer on BigQuery + dbt + Airflow, including the core revenue-transaction fact tables used across finance reporting.
- API automation: design and build a BigQuery → Airflow → Microsoft Dynamics 365 Business Central REST-API pipeline to automate sales-invoice posting, with idempotency and master-data sync between systems.
- Delivery: sole engineer on the engagement — requirements, modelling, orchestration and stakeholder communication with the client finance team, end to end.
Florian B.
Last position:
Project Management / PMO Consultant
PMO & Project Organization Blueprint for Restructuring
Renewable Energy / Solar Equipment
Technologies / Methods: PMO setup, KPI tracking, project organization, Jira, Confluence
- Developed measures to improve management control during a restruct...
Sarvesh L.
Last position:
Data Analytics for Renewable Energy Integration at Harz University
- Created data pipelines and visualization tools to support sustainable energy decision-making
- Developed insights that could optimize renewable energy deployment and grid integration strategies
Songül D.
Last position:
Freelance SAP BW Consultant at DKV Mobility Services
- Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
- Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
- Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
- Integrated SAP and non-SAP data sources (including MS Dynamics)
- Improved reporting transparency through consolidated data models
- Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance
Anadeel R.
Last position:
Startup Founder at Bayern Bee
- AI-driven marketing to boost SME growth with smart automation
- Data-led strategy to maximize ROI through targeted campaigns
Asım Y.
Last position:
Freelance BI/DWH/ETL Specialist at Akbank
- Setting architectural standards for Informatica Power Center development teams
- Maintenance-performance-health for DWH (Exadata) environments
- Qlik Sense / BO reports architectural standards
- Implementing best practices in ETL tasks
- Documentation ETL standards on Confluence
- Dynamic Data Masking rules for GDPR/KVKK regulations by using Informatica DDM tool
- DWH Data model Power Designer
- Upgrade Qlik Sense versions
- Merge all Informatica server's repository databases on one Oracle DB
Anshita S.
Last position:
Business Intelligence Developer and Data Analyst at Deloitte Consulting
Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.
- Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
- Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
- Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
- Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
- BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Pierre-Jean A.
Last position:
Verification Engineer – Aviation at Tri.Merge GmbH
- Automated analysis of test script repositories using Python
- Set up a SQLite database for signal and value tracking
- Identified critical inconsistencies through ad hoc SQL queries
- Technologies: Python, SQLite, Excel/ODBC
Discover over 15,000 top freelancers
Statistics of experts using Snowflake
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
3 years
Positions per freelancer
10
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
96%
Master's degree or higher
61%
Doctorate
7%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
98%
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 5 Nov 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.
- Information Technology (81%)
- Banking and Finance (48%)
- Professional Services (46%)
- Retail (45%)
- Healthcare (38%)
- Manufacturing (34%)
- Automotive (33%)
- Energy (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Snowflake is
Snowflake is a fully managed cloud data platform for storing, processing and sharing structured and semi-structured data. Its separate storage and compute architecture lets teams scale workloads independently across major cloud environments. Companies use it for analytics, reporting, data science and governed data sharing.
Core workloads
Snowflake supports central data warehouses, lakehouse-style architectures and operational analytics. It handles batch and near-real-time ingestion, transformation, secure data sharing and machine learning preparation.
- Consolidating data from applications, APIs and files
- Building reporting layers for business teams
- Supporting customer, product and financial analytics
- Publishing governed datasets to internal or external users
Ecosystem and tooling
Strong Snowflake specialists work across SQL, Python and the Snowpark framework. They commonly connect dbt, Airflow, Fivetran, Matillion, Kafka, BI tools and cloud storage to Snowflake. They also understand streams, tasks, dynamic tables, stages, warehouses, resource monitors and Snowflake Cortex capabilities where relevant.
When companies need experts
Companies often bring in freelance Snowflake professionals during a migration from an on-premises warehouse, a new analytics platform rollout or a major change in data governance. They may also need help when warehouse costs rise, pipelines become unreliable or teams cannot agree on a clear data model.
- Assessing an existing warehouse and migration path
- Designing schemas, roles and workload isolation
- Improving slow queries and inefficient transformations
- Establishing testing, deployment and monitoring practices
Skills that distinguish strong specialists
A capable professional combines dimensional modeling with practical cloud operations. They can explain when to use transient, temporary or permanent tables, tune warehouses without masking poor SQL, and apply masking policies, row access policies and secure views appropriately. They also document lineage, ownership, recovery plans and expected operating costs.
Project fit and delivery
Snowflake work may cover a focused optimization, a complete platform build or ongoing support for data teams. Good specialists define source assumptions, data freshness targets, access boundaries and acceptance checks before changing production workloads. They communicate clearly with analysts, application teams and security stakeholders, whether collaboration is remote or on-site.
Frequently asked questions
Curious about Snowflake? Here are the answers that come up again and again.
Snowflake is used to store and analyze data in the cloud without managing the underlying database infrastructure. Companies use it for enterprise reporting, customer analytics, data integration, data science preparation and secure data sharing.
Snowflake is traditionally centered on a managed SQL warehouse and governed analytics, while Databricks is strongly associated with Spark-based processing, notebooks and lakehouse workloads. The right choice depends on data formats, processing patterns, team skills and governance needs; many organizations use both.
A strong Snowflake specialist often brings SQL, dimensional modeling, Python, dbt and orchestration experience. Knowledge of cloud storage, identity management, CI/CD, data quality, observability and BI tools is also valuable for production delivery.
The required depth depends on the scope. A focused reporting layer may need a specialist with targeted Snowflake delivery experience, while a migration or governance redesign calls for a professional who has handled security, workload management, deployment and recovery in comparable environments.
Yes, most Snowflake tasks can be completed remotely because access, documentation and collaboration happen through cloud tools. On-site sessions can still help with discovery, stakeholder workshops or sensitive architecture decisions, especially when teams operate across different languages or time zones.
Ask how the specialist approaches data modeling, access control, testing, monitoring and cost management. A credible Snowflake professional should explain trade-offs clearly, show how changes are deployed safely and connect technical decisions to freshness, reliability and business use.
Snowflake Data Cloud is the broader product and ecosystem name, while Snowflake commonly refers to the platform itself. The service includes data storage and processing as well as capabilities for sharing, governance, application development and collaboration across organizations.
A Snowflake expert can deliver a warehouse design, migration plan, ingestion pipelines, dbt models, security configuration, performance review or cost-control framework. They may also provide documentation, automated tests, deployment workflows and operational runbooks for the internal team.
The average hourly rate of freelancers who have used Snowflake in their recent projects is 96 €, which corresponds to a daily rate of about 767 € based on an 8-hour working day.
Of the freelancers who have used Snowflake in their recent projects, 96% hold at least a Bachelor's degree, 61% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers who have used Snowflake in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers who have used Snowflake in their recent projects are German (98%), English (98%), and French (18%).
The most common industries among freelancers who have used Snowflake in their recent projects are Information Technology (81%), Banking and Finance (48%), and Professional Services (46%).
The most common business areas among freelancers who have used Snowflake in their recent projects are Information Technology (95%), Business Intelligence (88%), and Product Development (72%).
Main locations of FRATCH Experts, who have recently used Snowflake
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Frankfurt 
Dusseldorf 
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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Philipp Thomaschewski
FRATCH CEO
