At ThirdEye Data, our Snowflake experts come from teams that have designed and delivered large-scale data platforms, analytics systems, and AI-ready architectures for global enterprises.
We help enterprises hire Snowflake experts who can design, modernize, integrate, and operate Snowflake platforms as part of long-term data and AI strategies.
We started as a Big Data consultancy – Snowflake is a natural evolution.
ThirdEye Data was founded as a Big Data consulting company, long before Snowflake became mainstream. That foundation gives us a deep understanding of distributed data systems, performance trade-offs, governance challenges, and enterprise-scale analytics.
As Snowflake emerged as a leading cloud data platform, we built long-term expertise and partnerships around it, helping enterprises move from fragmented data stacks to unified, cloud-native analytics platforms.
Our Snowflake experts are not siloed resources. They work closely with:
Data engineers
Analytics teams
AI and ML teams
Cloud and security stakeholders
This makes them effective inside complex enterprise environments.
Our Snowflake experts contribute across critical enterprise functions, including:
Enterprise Analytics & BI
Designing Snowflake-based analytics platforms that support self-service reporting and governed insights
Data Engineering & Pipelines
Building reliable ingestion and transformation pipelines using Snowflake-native and cloud-integrated tools
AI & Machine Learning Enablement
Preparing clean, trusted datasets for ML training, inference, and GenAI applications
Cloud Data Platform Modernization
Migrating from on-prem or legacy cloud warehouses to Snowflake with minimal disruption
Cross-Platform Data Integration
Connecting Snowflake with Azure, AWS, BI tools, operational systems, and AI platforms
Data Governance & Security
Implementing role-based access, data sharing, and compliance controls aligned with enterprise policies
Core Snowflake Capabilities
Snowflake Data Cloud
Virtual Warehouses & Workload Isolation
Snowflake Streams & Tasks
Secure Data Sharing
Snowflake Cortex (where applicable)
Data Engineering & Transformation
SQL-based transformations
dbt with Snowflake
Cloud-native ingestion frameworks
Cloud & Platform Integration
Snowflake with Azure and AWS
Integration with Microsoft Fabric and Azure services
BI tools and enterprise reporting platforms
AI & Advanced Analytics Enablement
Snowflake as a source for ML and GenAI workloads
Integration with LLM platforms and vector stores
Snowflake-supported feature stores and analytics layers
Governance & Security
Role-based access control (RBAC)
Data masking and compliance controls
Enterprise-grade data governance patterns
Talk to us about hiring Snowflake experts who can support your analytics, AI, and modernization goals.
We understand how Snowflake fits into your broader data and AI ecosystem.
We select Snowflake experts based on relevant platform and industry experience, not resumes alone.
All developers are internally reviewed by our senior data architects for enterprise readiness.
Resources can be deployed for short-term initiatives, long-running programs, or as part of dedicated AI pods.
