Enterprise Data Architecture
for the DFW Metroplex.

Financial Services

JPMorgan Chase, Goldman Sachs Technology, Comerica, Charles Schwab, Fidelity Investments, State Farm — DFW hosts a significant share of US financial services operations. We design data platforms that satisfy OCC, SEC, and Federal Reserve examination requirements with strong lineage, audit trails, and retention policies — without sacrificing analytical agility.

Corporate HQ Relocations

Toyota North America, McKesson, Kimberly-Clark, Charles Schwab — the last decade of headquarters relocations to DFW brought fragmented data estates with inconsistent naming standards and disconnected governance. We unify disparate data sources under a single governed platform: Master Data Management, unified data catalog, and consistent analytics across the consolidated enterprise.

Healthcare Systems

Baylor Scott & White Health, UT Southwestern Medical Center, Texas Health Resources, Tenet Healthcare — DFW hosts some of the most complex healthcare data environments in the South. We build HIPAA-compliant data warehouses connecting Epic/Cerner EMR, claims, and operational systems with federated access for individual facilities and consolidated enterprise reporting.

Telecom & Technology

AT&T's global headquarters is in Dallas. Nokia, Texas Instruments, Ericsson, and Samsung Electronics America all operate significant DFW facilities. We architect data platforms that connect BSS/OSS systems, network performance data, and customer data into unified analytics environments that handle telecom-scale volumes and satisfy CPNI compliance requirements.

Data Platform Architecture

Modern medallion architecture on Azure Data Lake Storage, Databricks, and dbt — designed for both your current BI reporting needs and the AI workloads you will run in the next 18 months.

Cloud Data Engineering

End-to-end Azure data engineering: ADF pipelines, Synapse Analytics, Delta Lake, Azure Monitor. We design and build the infrastructure, not just the architecture diagrams.

Data Governance & Cataloguing

Microsoft Purview data catalog, Unity Catalog for Databricks, data lineage, classification policies, and access governance frameworks your compliance team can stand behind.

Master Data Management

For DFW headquarters consolidations: unified customer, product, and financial master data across legacy systems from multiple prior locations. One version of the truth, trusted enterprise-wide.

AI-Ready Data Foundation

Feature engineering pipelines, MLflow experiment tracking, model serving on Azure ML and Databricks — built on the same governed data platform your dashboards run on.

Data Architecture Audit

A 2–3 week diagnostic: we map your current data estate, identify architectural gaps holding back your analytics, and deliver a prioritised remediation roadmap before any build work begins.

Day Rate

From $1,500/day

Architecture, design, and hands-on data engineering

Project

From $12,000

Scoped data platform builds and architecture designs

Managed Data

From $5,500/mo

Ongoing data engineering and platform management

Do you have experience with financial services regulatory data requirements in DFW?

Yes. We have built data architectures for financial services firms under OCC, SEC, and Federal Reserve oversight. Dallas hosts JPMorgan Chase consumer banking, Goldman Sachs Technology, Comerica, Charles Schwab, and Fidelity Investments — all with distinct regulatory data requirements. We architect data lineage, audit trails, and retention policies that satisfy both internal governance and regulatory examination.

We recently relocated our headquarters to DFW. How do you help with post-relocation data consolidation?

Post-relocation data consolidation is one of our most common DFW engagements. When a headquarters moves, data systems arrive from multiple legacy locations with inconsistent standards and no unified governance. We run a Data Architecture Assessment, then design a migration path to a single coherent platform — typically starting with a Master Data Management strategy and a unified data catalog.

Can you build data architecture for large healthcare systems?

Yes. We have built HIPAA-compliant data platforms for multi-campus health systems — connecting Epic and Cerner EMR data, claims, and operational systems into a unified clinical data warehouse. For large systems like Baylor Scott & White, we design for both centralised analytics and federated access so individual hospitals retain autonomy while the enterprise gets a consolidated view.

What does a data architecture engagement typically look like?

We start with a 2–3 week Data Architecture Audit: mapping your current data sources and identifying the gaps between your current data estate and what your business decisions require. From there, an Architecture Blueprint for your target state. Implementation follows in phases — most enterprise engagements run 12–24 weeks for initial platform delivery.

How do you approach AI-ready data architecture?

AI-ready architecture requires specific design for data quality pipelines, feature engineering, and model serving infrastructure that BI-oriented data warehouses were not designed for. We build platforms that serve both your reporting layer (Tableau, Power BI) and your ML/AI layer (Azure ML, Databricks) from the same governed foundation — no data drift, no consistency issues between analytics and production.

Do you work with telecommunications data environments?

Yes. AT&T's global headquarters in Dallas means we have deep experience with telecom data at massive scale — BSS/OSS integrations, network operations analytics, customer data platforms, and FCC/CPNI compliance. Telecom architectures require special attention to volume, latency, and connecting network infrastructure data to customer-facing analytics.