Your data.
We make it work//
We turn your spreadsheets, databases and half-built data lakes into a governed, secure data foundation - with BI and analytics that finally drives business value.
Your Data Architecture Challenge
Your data team is busy. Your dashboards are populated. But when decisions need to be made, different teams are working from different numbers — and nobody can tell you which one is right.
We build the data foundation that changes that — governed, reliable, and built around a single source of truth your executives actually trust to make decisions with.
AI & Data Architecture
Most enterprise AI initiatives stall before they scale — not because the technology is wrong, but because the data foundation was built to support reporting — not inference.
Fragmented definitions, ungoverned pipelines, and architecture designed for last quarter's reports — these are not data problems, they are ceilings on everything your AI can do.
We rebuild the data foundation that removes that ceiling — governed, unified, real-time, and built for the AI you are deploying, not the dashboards you already have.
In 30 minutes, a former Microsoft data architect audits your data foundation and sends you a written plan.
Services
Who We Work With
You have the board pressure, the budget, and the technology. Your AI pilots impressed the room. The problem is the data underneath — fragmented, ungoverned, and built for last quarter's reports. We rebuild the foundation so the programme delivers a number, not a roadmap.
Server EOL is forcing a decision. Performance has degraded. Your team is maintaining dashboards instead of building insight. We have run migrations, tuning engagements, and architecture assessments on both sides — and we will tell you honestly which path is right for your environment.
You built fast. The data team is smart. But the architecture was never designed to scale, and now half the sprint is firefighting broken pipelines. We come in, assess what is costing you the most, and fix the structural issues before they compound further.
FP&A spends the first week of every month cleaning data instead of analysing it. The board asks a question and the answer takes three days. We fix the data foundation that feeds your financial reporting — and make it the one your AI systems can actually run on.
Who We Are
Our team includes former Tableau engineers who worked at Tableau/Salesforce and Microsoft data architects who designed Azure data platforms at enterprise scale.
We don't consult on these platforms from the outside — we built and operated them from within. That depth changes the quality of every architecture decision we make.
How We Work
Four phases. Every engagement. No exceptions.
A structured assessment of your current environment — what is costing you, what is underperforming, and where the highest-leverage fixes are. We start by listening, not scoping.
A documented architecture for where you need to be. Data models, governance frameworks, platform decisions — designed for your specific workload and growth trajectory, not a generic blueprint.
We build it. Pipelines, platforms, dashboards, automation — delivered with engineering discipline: version control, testing, documentation, and observability from day one.
Ongoing ownership of your data environment. Monitoring, maintenance, continuous improvement, and access to our full team when you need more depth — without maintaining that depth in-house.
Common Questions
DataArchitect.co is an enterprise data architecture and Tableau consulting firm. We design and build scalable data foundations — including data warehouses, cloud data platforms, BI environments, and governed analytics pipelines — for mid-market and enterprise businesses across the US and Australia.
Yes. Our team includes former Tableau engineers who worked inside Tableau/Salesforce, giving us a depth of platform knowledge that generalist BI consultants cannot match. We handle Tableau Server management, Tableau Cloud migration, performance tuning, and ongoing managed services.
We work with clients across the United States — New York, Chicago, Los Angeles, Houston, Dallas, Atlanta, and Austin — and Australia: Sydney and Melbourne. Most engagements are delivered remotely, with on-site availability for architecture and design phases.
Our team built the tools we consult on. We have former Tableau product engineers and Microsoft data architects who designed Azure data platforms at enterprise scale. We are not generalists who learned these platforms from the outside — we operated them from within, and that depth changes the quality of every architecture decision we make.
Free · 30 minutes · No pitch
A former Microsoft data architect reviews your stack, identifies what is costing you the most, and sends you a written plan — at no cost.
Book Your Free Audit →
