Snowflake data engineering, dbt, Fivetran, and AI services
We design and build Snowflake data engineering pipelines, dbt development workflows, Fivetran integrations, and Snowflake Intelligence solutions so you can scale with confidence.
What we offer
DataOps: packaged service
Architecture design, implementation, and ongoing support—fixed scope and deadline.
View details ↓Data engineering
Pipelines and warehouses on Snowflake; ingestion with Fivetran.
View details ↓Interconnected data & governance
dbt, dbt Cloud, and data governance for trusted analytics.
View details ↓Integrated AI
Snowflake Cortex, Snowflake Intelligence, and custom AI/ML.
View details ↓Service details
Scroll down for full descriptions and how we can help.
What buyers usually need help with
Building the modern data stack
We help teams set up Snowflake data engineering foundations, choose the right ingestion and transformation patterns, and establish a scalable delivery model with dbt and Fivetran.
Improving a stack that already exists
We help when pipelines are brittle, models are hard to trust, governance is unclear, or teams want to move from a functional platform to a truly scalable one.
DataOps: packaged service
We help you set up DataOps from scratch: architecture design, implementation, and ongoing support. A fixed-scope engagement with defined deliverables and a deadline—so you know exactly what you get and when.
How we help you
- Requirement analysis — We capture your data sources, consumers, SLAs, governance needs, and tooling. You get a clear scope and success criteria before we build.
- Architecture design — We produce a DataOps architecture that fits your context (pipelines, orchestration, testing, monitoring) and how it plugs into Snowflake, dbt, Fivetran, or your existing stack. You get diagrams, a design doc, and an implementation roadmap.
- Development (implementation) — We build it: CI/CD, quality checks, observability, runbooks, and documentation. Delivered against the agreed timeline.
- Maintenance (continuous support) — After go-live, we keep the system healthy: monitoring, incident response, small improvements, and handover support so your team can take over when you're ready.
Your dedicated team
We staff the engagement with three roles so you get both build and long-term ownership:
- Architect — Owns requirement analysis and architecture design. Ensures the solution fits your goals and that the implementation plan is realistic and scoped.
- DevOps engineer — Owns implementation: pipelines, automation, quality gates, and observability. Delivers against the agreed deliverables and deadline.
- Support person — Owns ongoing maintenance after go-live. Monitors the system, handles issues, and helps your team learn the setup. Same person stays on for continuity.
Defined deliverables and deadline: This is a packaged service, not an open-ended retainer. We agree up front on deliverables (e.g. architecture document, implemented pipelines, runbooks, support period) and a target completion date—so you have predictability on scope, timeline, and cost.
Who it's for: Companies that want to set up DataOps and prefer a single, structured engagement: design, build, and someone to maintain the system going forward. Ideal if you're standardizing on Snowflake (and tools like dbt, Fivetran, Airflow) and want automation, quality, and observability built and supported from day one.
Data engineering
We build the foundation: scalable data pipelines and warehouses on Snowflake, so your data lands reliably and is ready for analytics and AI.
Snowflake
Architecture, data lakes, and warehouses. We design and implement scalable pipelines, optimize performance, and help you get the most out of the Data Cloud.
Fivetran
Reliable ingestion from your sources into Snowflake. We configure and maintain connectors so data lands on time and in the right shape for dbt and downstream use.
Interconnected data & governance
We turn data chaos into clarity: transformations, models, and governance so your organization can democratize insights and make better decisions.
dbt
Analytics engineering with dbt: modular models, testing, documentation, and incremental pipelines. We design transformation layers that are maintainable and reliable.
dbt Cloud
Managed dbt with scheduling, CI/CD, and monitoring. We set up and operate dbt Cloud so your team can develop, run, and observe transformations without the ops burden.
Data governance
Policies, lineage, quality, and security. We help you define ownership, access controls, and compliance so data is trustworthy and audit-ready across Snowflake and your stack.
Integrated AI
We bring AI and ML inside the Data Cloud—so you can unlock the full potential of your data with governance and security built in.
Snowflake Cortex & Snowflake Intelligence
We build solutions with Snowflake Cortex and Snowflake Intelligence: natural-language Q&A over your data, agents, and applications that reason over structured and unstructured data with traceability and governance.
Custom AI & ML
When you need more than out-of-the-box, we design and implement custom models and workflows in Snowflake—from prompt engineering and RAG to agentic AI and ML ops.
How we work
1. Assess
We review architecture, stakeholders, SLAs, data quality risks, and the current use of Snowflake, dbt, and Fivetran.
2. Implement
We design and build the right data engineering, analytics engineering, governance, and AI capabilities based on your delivery goals.
3. Operationalize
We help with handoff, runbooks, observability, and an operating model your team can actually maintain over time.
Frequently asked questions
Do you only work with Snowflake?
Snowflake is our center of gravity. We focus on Snowflake data engineering and the surrounding stack, including dbt, dbt Cloud, Fivetran, governance, orchestration, and AI workflows inside Snowflake.
Can you help if our team already has engineers?
Yes. We often work alongside internal data teams to accelerate delivery, reduce risk, and improve architecture rather than replacing in-house capability.
Do you help with Snowflake Intelligence and AI strategy?
Yes. We help teams connect governed data foundations to practical AI use cases using Snowflake Cortex, semantic layers, and Snowflake Intelligence workflows.
Ready to build your data and AI stack on Snowflake?
Book a call