Build reliable and scalable data pipelines on Snowflake that turn raw data into governed, AI-ready data products for analytics, copilots, and AI agents.
700+
Prebuilt source connectors
Zero
Infrastructure to provision
Column
Level lineage and governance
Build a Reliable Data Foundation for AI
Power AI with reliable, governed, and trusted data.
Reduce Data Engineering Complexity
Simplify data engineering with reliable, scalable pipelines that reduce maintenance overhead
Ensure Data Lineage and Transparency
Enable clear lineage across transformations, with every dbt model traceable to its source.
Prepare Data for Enterprise AI
Deliver governed, high-quality data that is ready for AI applications and enterprise use.
Data Engineering for AI-Ready Pipelines
AI delivers value only when the underlying data is accessible, trusted, well-governed, and cost-efficient.
01
Connected Data
Ingest batch, streaming, and change data from enterprise, SaaS, and unstructured sources.
02
Data Modeling & Semantics
Standardize, test, and document data so metrics remain consistent across dashboards, analytics, and AI agents.
03
Trusted Data
Embed quality, lineage, and access controls to make every AI output traceable.
04
Scalable Data Architecture
Optimize processing and infrastructure to support AI workloads without unnecessary cost growth.
Why it Matters
Data engineering is the AI pipeline
Ingestion & Integration
Connect enterprise data across systems with reliable, scalable ingestion and integration.
- 700+ prebuilt Fivetran connectors
- Snowflake Openflow for multimodal ingestion
- Snowpipe Streaming for real-time data
- CDC from ERP, CRM and MES
- Schema drift handling for resilient pipelines
Transformation & Modeling
Transform raw data into trusted, governed data products built for analytics and AI
- dbt Projects for governed transformations
- Dynamic Tables for incremental processing
- Snowpark for advanced data workloads
- Domo Magic ETL for self-service transformation
- Semantic models for consistent enterprise metrics
AI-Ready Pipelines
Prepare governed enterprise data for copilots, agents, and AI applications.
- Unstructured data ingestion and enrichment
- Snowflake Cortex for AI enrichment
- Embeddings and search for RAG
- Governed datasets for AI applications
- Row and column level policy enforced for AI agents
DataOps & Cost Control
Ensure platform reliability with CI/CD, ownership-based alerting, and cost governance
- Automated testing and CI/CD workflows
- Continuous data quality monitoring
- End-to-end pipeline observability and lineage
- Warehouse optimization and cost controls
- Ownership, alerts and operational SLAs
Technology Partners for Every Data Workload
We select the right tools for each stage of your data modernization journey, with solutions designed to work seamlessly with Snowflake.
Fivetran
Managed connectors for SaaS and database sources, enabling reliable, scalable data movement into Snowflake.
Snowflake Openflow
Snowflake’s managed integration service, built on Apache NiFi , for streaming, CDC, and unstructured data, with deployment options across Snowflake or your cloud environment.
dbt Projects on Snowflake
Native, version-controlled transformations for data modeling, testing, and lineage, running directly in Snowflake.
Domo Magic ETL
Self-service data transformation for business teams, executed directly in Snowflake without creating additional data copies.
Our Data Modernization Approach
01
Sources & Use Cases
Assess source systems, data requirements, and priority use cases. Deliver a prioritized migration and data pipeline roadmap.
02
Ingestion Layer
Configure Fivetran, Openflow, or streaming based on source requirements. Establish the landing and raw data layers.
03
Transformation
Build tested and documented dbt models, with Dynamic Tables where appropriate. Align semantic definitions with business needs.
04
Certified Data Products
Deliver governed datasets for BI, self-service, and AI—with ownership, quality SLAs, lineage, and access controls.
05
Run & Optimize
Establish CI/CD, monitoring, alerting, cost controls, and ownership. Enable teams to manage and extend the platform independently.
Build Your Snowflake Migration Roadmap
Start with a PROLIM + Snowflake assessment to identify data gaps, define the target architecture, and prioritize your path to AI.
