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 it is an MVP for a new product you're trying to bring into the world, or an enterprise system that needs creating or maintaining, we can help. Professionally engineered, documented, and maintained.