Service Area
Your data infrastructure is either a competitive advantage or a liability. We help you design, build, and evolve the platforms and pipelines that make your data actually useful — at scale, and built to last.
The Challenge
Companies don't usually come to us and say "I need a data architecture." They come to us and say: "Our reports take three days to run." Or "Every team has a different number for the same metric." Or "We've been trying to use AI for two years and nothing has stuck."
Nine times out of ten, the root cause is a data infrastructure that was never designed to keep up with the business. Siloed systems, fragile pipelines, no single source of truth, and data that nobody fully trusts.
Our data strategy and architecture work is about getting ahead of that — building the right foundation so everything downstream (analytics, AI, reporting, product features) can actually work.
Types of Projects
Every engagement starts with where you are. Here are the most common types of work we take on — and the outcomes each is designed to deliver.
For companies that have outgrown spreadsheets and ad-hoc databases, or that have never built a proper data foundation. We design and implement a modern data stack from scratch — warehouse, transformation layer, and orchestration — tailored to your team size and growth trajectory.
Moving off legacy on-premise infrastructure, a monolithic data warehouse, or a fragmented set of tools. We plan and execute migrations that minimize disruption to the business while modernizing your stack — with zero tolerance for data loss or extended downtime.
For companies with an existing data stack that isn't performing — slow queries, unreliable pipelines, mounting technical debt, or a team that's constantly firefighting. We audit what you have, identify root causes, and produce a prioritized roadmap with clear ROI for each item.
When your data pipelines are brittle, slow, or impossible to debug, the right answer isn't patching — it's rethinking. We redesign your ingestion, transformation, and delivery layers using modern patterns (ELT, event streaming, change data capture) to give you pipelines you can actually trust.
For larger organizations where centralized data teams have become bottlenecks, or where multiple business units need to own and publish their own data. We design federated data architectures that decentralize ownership without sacrificing discoverability or governance.
Overwhelmed by vendor options? Unsure whether to buy or build? We provide objective, vendor-neutral guidance on tool selection across the entire data stack — warehouses, transformation tools, orchestration, ingestion, and BI — based on your specific requirements, team, and budget.
Tech Ecosystem
We're tool-agnostic and always recommend based on your situation — not vendor relationships.
Data Warehouses & Lakehouses
Transformation & Orchestration
Ingestion & Streaming
Cloud Infrastructure
Engagement Models
We adapt the engagement model to your situation. Here are the three most common formats.
Audit, assess, and deliver a prioritized roadmap with clear business cases. Ideal when you need alignment before committing to execution.
3–6 weeksEnd-to-end design and implementation. We build alongside your team and hand off something production-ready, fully documented, and tested.
6–16 weeksOngoing embedded support — attending standups, reviewing PRs, making architectural decisions, unblocking your team on a part-time basis.
Monthly retainerCommon Questions
Related Services