Data Architect — Atlanta, Georgia

Enterprise Data Architecture
for Atlanta and the Southeast.

Former Microsoft data architects working with Atlanta's payments technology, media, healthcare, and logistics sectors. We design the platforms that turn your fragmented data estate into a governed foundation your analytics and AI teams can build on.

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Built for Atlanta's Industries.

Atlanta runs some of the most complex enterprise data environments in the South — from high-volume payments processing to multi-site health systems to global supply chain operations. We know the stack and the compliance requirements your industry demands.

Payments & Fintech

Atlanta is the global payments capital — NCR, Global Payments, Cardlytics, InComm, Fiserv. Payments data architecture requires PCI DSS compliance, handling billions of transaction rows, real-time settlement and fraud detection pipelines, and card network reconciliation. We have built data platforms for this environment and understand the data velocity and compliance architecture these organisations require.

Media & Entertainment

Warner Bros. Discovery, CNN, Turner Broadcasting — Atlanta's media ecosystem generates complex audience, ad-sales, and content performance data across linear and streaming. We design unified data platforms that connect ad sales systems, streaming analytics APIs, and rights management databases into a single analytics foundation — giving strategy and finance teams a consistent view of content performance and revenue.

Healthcare & Public Health

CDC, Emory Healthcare, Children's Healthcare of Atlanta, Northside Hospital, WellStar — Atlanta's healthcare concentration spans clinical care, public health, and research. We build HIPAA-compliant data architectures with Epic/Cerner integrations, clinical data warehouse design, and federal public health data standard compliance for organisations serving both patient care and public health functions.

Retail & Logistics

Home Depot, Chick-fil-A, Delta Air Lines, UPS — Atlanta's logistics and retail operations run supply chain, inventory, and customer data at enterprise scale. We design data platforms connecting SAP and Oracle SCM systems, WMS/OMS platforms, and customer data into unified analytics layers that support both operational reporting and AI-driven supply chain optimisation.

What We Build in Atlanta.

From greenfield data platform design to data estate remediation for organisations that have outgrown their current architecture.

Data Platform Architecture

Modern medallion architecture on Azure Data Lake Storage, Databricks, and dbt — designed for your current BI reporting needs and the AI workloads you are planning.

Cloud Data Engineering

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

Data Governance & Cataloguing

Microsoft Purview catalog, Unity Catalog for Databricks, data lineage, classification policies, and access governance. Compliance and analytics teams working from the same governed foundation.

Real-Time Data Pipelines

For payments, fraud detection, and real-time operational analytics: Event Hubs, Kafka, stream processing architectures that handle the data velocity Atlanta's fintech environment demands.

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 of your current data estate — mapping sources, identifying gaps, and delivering a prioritised remediation roadmap before any build work begins.

Transparent Pricing.

Honest scoping, no surprises. We start with an audit so you know exactly what you are investing in.

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

Atlanta FAQs.

Do you have experience building data architecture for payments and fintech companies?

Yes. Atlanta is the global payments technology hub — NCR, Global Payments, Cardlytics, InComm. Payments data architecture has specific requirements: PCI DSS compliance, high-volume transactional data at billions of rows, real-time settlement and fraud detection pipelines, and card network reconciliation reporting. We have built data platforms for this environment and understand the data velocity, latency requirements, and compliance architecture these companies need.

Can you build data architecture for retail and logistics at enterprise scale?

Yes. Home Depot, Chick-fil-A, Delta Air Lines, UPS — Atlanta's logistics and retail operations run supply chain and customer data at a scale that requires serious architectural discipline. We design platforms that connect SAP and Oracle SCM systems, WMS and OMS platforms, and customer data into a unified analytics layer — with the performance and governance to support enterprise-scale reporting and AI use cases.

Do you work with healthcare data environments including CDC and public health organisations?

Yes. Atlanta is home to the CDC, Emory Healthcare, Children's Healthcare of Atlanta, and WellStar Health. We build HIPAA-compliant data architectures for health systems and understand the federal data standards and reporting requirements relevant to public health organisations. Our architectures handle both clinical care data and research/surveillance data with appropriate access controls.

What does a typical data architecture engagement look like?

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

How do you approach data governance for rapidly growing Atlanta tech companies?

Fast-growing tech companies often have the opposite problem from legacy enterprises: too much data with too little governance. Data sources proliferate, metrics get defined differently across teams, and leadership loses confidence in the numbers. We implement a lightweight but durable governance model: a data catalog (Microsoft Purview or dbt docs), certified data sources in Tableau or Power BI, metric definitions in a semantic layer, and row-level access controls aligned to your org chart.

Ready to Build the Right Data Foundation?

Book a 30-minute audit call. We will assess your current data architecture and give you an honest view of what is holding back your analytics and AI roadmap.

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