Data Engineering for AI
Structure and organize your data so AI, agents, and analytics can rely on it. We build Snowflake-native platforms, AI-ready pipelines, vector stores, and governed data products that turn raw information into a competitive asset.
Four pillars of a modern data platform.
Each engagement combines platform, pipelines, quality, and governance — because a warehouse without contracts, or streaming without observability, becomes tomorrow's incident.
Structuring data for AI
Organize raw data into clean, versioned, well-documented assets that LLMs, agents, and ML models can consume reliably — from feature stores to vector-ready datasets.
- Entity resolution, normalization, and canonical models
- Vector stores and embedding pipelines for RAG
- Feature stores and training datasets
- API-ready data products for agentic systems
Snowflake data platforms
Design and operate modern data platforms on Snowflake — leveraging warehouses, data sharing, governance, and Snowpark for AI workloads.
- Snowflake architecture and workload optimization
- Data sharing, marketplaces, and cross-cloud replication
- Snowpark Python / JavaScript for embedded ML
- Cost modeling, storage tiers, and scaling patterns
Data pipelines & integration
Build reliable batch and streaming pipelines that feed AI, BI, and operations with fresh, validated data.
- ELT / ETL pipelines with dbt, Airflow, and Fivetran
- Streaming ingestion with Kafka, Kinesis, and Pub/Sub
- CDC, event-driven patterns, and idempotent loads
- Data contracts, schema evolution, and lineage
Governance, security & compliance
Catalog, classify, and control access across the entire data estate — with the audit trails enterprise and regulated industries require.
- Data cataloging and lineage
- PII classification and masking
- Row/column-level access controls
- SOC 2, HIPAA, and GDPR alignment
Services across the full data lifecycle.
AI-ready data architecture
Design data structures that power retrieval, training, and agentic workflows — not just dashboards.
- Vector and embedding data design
- RAG-ready document chunks and metadata
- Feature stores and model training datasets
- Agent-accessible data products and APIs
Snowflake platform engineering
Implement Snowflake as the central data platform for analytics, AI, and secure enterprise sharing.
- Warehouse sizing, compute pools, and cost governance
- Snowpark UDFs, stored procedures, and ML pipelines
- Data sharing, replication, and marketplace strategy
- Role-based access, masking, and row-level security
ELT / ETL pipelines
Build reliable batch and micro-batch pipelines with dbt, Airflow, Dagster, and native cloud services.
- Airflow, Dagster, and Prefect orchestration
- dbt models, tests, and documentation
- Fivetran, Airbyte, and custom connectors
- SLA-driven scheduling and retries
Streaming pipelines
Stand up production-grade streaming systems for operational analytics, personalization, and real-time AI features.
- Kafka, Kinesis, Pub/Sub, and Event Hubs
- Flink, Spark Streaming, and Kafka Streams
- Schema registries and evolution
- Real-time feature and metric stores
Analytics & BI enablement
Turn a structured data platform into decisions with semantic layers, curated models, and self-serve analytics.
- Semantic layers (dbt, Cube, LookML)
- Metric definitions and governance
- Looker, Tableau, Power BI, Metabase
- Self-serve analytics enablement
Data governance & lineage
Catalog, classify, and control access across the entire data estate with modern governance tooling.
- Unity Catalog, Collibra, Atlan, DataHub
- PII discovery, classification, and masking
- Column and row-level access policies
- End-to-end lineage and impact analysis
Platforms and tools we work in.
Prepare your data for AI.
Whether you are organizing data for agentic systems, building a Snowflake platform, or hardening pipelines for enterprise AI, we can help you design and deliver — with the same senior engineers who will operate it.
Book a discovery call.
Tell us what you're exploring. We'll reply within one business day with next steps and a calendar link.
We build Exceptional.
Whether creating new software platforms, codifying business logic into Agentic workflows and Agents, or an enterprise system that needs maintaining, we can help. Professionally engineered, documented, and maintained.