Data Architecture Consulting | Enterprise Data Solutions
Founded 1997 · in our 30th year11,000+ enterprise engagementsMicrosoft Press bestselling author
By Errin O'Connor, Founder & Chief AI Architect, EPC Group
EPC Group designs and builds modern enterprise data architectures on Azure — data lakes, data warehouses, data lakehouses, and real-time analytics platforms. We work with Azure Synapse Analytics, Microsoft Fabric, Azure Data Factory, Databricks, and Microsoft Purview for governance. Enterprise Microsoft experience since 1997. Fortune 500 and federal government clients.
Modernize your enterprise data infrastructure with scalable, secure, and cost-effective data architectures. We design solutions that maximize the value of your data.
End-to-end data architecture consulting designed for enterprise complexity. From strategy to implementation, we are your trusted data architecture partner.
Design scalable, performant data models that form the foundation of your enterprise analytics. We create dimensional models, entity-relationship diagrams, and semantic layers optimized for your business needs.
Build modern data lakes that store structured and unstructured data at scale. Our lakehouse architectures combine the flexibility of data lakes with the governance of data warehouses.
Migrate and modernize legacy data warehouses to cloud-native platforms. We transform on-premises EDW environments into scalable, cost-effective cloud solutions.
Implement robust data integration pipelines that connect disparate systems and ensure data flows reliably across your enterprise. We design ELT/ETL processes that scale.
Deep expertise across the Azure data platform to deliver comprehensive, cloud-native data solutions for your enterprise.
Unified analytics platform combining data warehousing, big data, and data integration in a single service.
Cloud-based data integration service for creating, scheduling, and orchestrating data pipelines at scale.
Unified analytics platform for data engineering, data science, and machine learning on Apache Spark.
Massively scalable and secure data lake storage built on Azure Blob Storage with hierarchical namespace.
Real-time data streaming platform capable of processing millions of events per second for IoT and analytics.
Unified data governance service for automated data discovery, classification, and lineage tracking.
Every data architecture we design follows proven principles that ensure long-term success and business value.
Design data platforms that grow with your business, handling petabytes of data without performance degradation.
Implement defense-in-depth security with encryption, access controls, and audit logging from day one.
Build architectures that support both batch and real-time data processing for instant insights.
Establish comprehensive data governance with lineage, cataloging, and quality frameworks.
Tune data platforms for optimal query performance and cost efficiency at enterprise scale.
Automate data pipeline deployment, monitoring, and maintenance with Infrastructure as Code.
Leverage serverless and PaaS services to minimize operational overhead and maximize agility.
Align data architecture with business objectives to deliver measurable ROI and competitive advantage.
We specialize in highly regulated industries where data security and compliance are non-negotiable.
HIPAA-compliant data architectures for healthcare analytics, population health management, and clinical data integration. We implement BAA-covered services with proper PHI handling.
SOC 2-compliant data platforms for risk analytics, regulatory reporting, and real-time fraud detection. Secure architectures for sensitive financial data processing.
FedRAMP-aligned consulting expertise data architectures for federal agencies. IL2-IL5 compliant designs with proper security controls and continuous monitoring.
Our battle-tested methodology ensures successful data platform implementations with minimal risk and maximum business value.
Comprehensive assessment of your current data landscape, including source systems, data quality, and integration points. We identify gaps and opportunities for modernization.
Architect the target data platform with detailed technical designs, data models, and integration patterns. We create blueprints that balance innovation with practicality.
Implement the data platform using agile methodologies with iterative delivery. We deploy infrastructure, build pipelines, and establish governance frameworks.
Execute data migration with proven strategies that ensure data integrity and minimal business disruption. We validate completeness and accuracy at every stage.
Continuous optimization of performance, cost, and governance. We establish operational processes and provide knowledge transfer to your team.
With Microsoft ecosystem expertise since 1997, we bring unmatched depth and experience to every data architecture engagement.
Deep experience with HIPAA, GDPR, SOC 2, FedRAMP, and industry-specific regulations for data platforms.
Expertise across Azure, AWS, GCP, and hybrid environments to design the right solution for your needs.
Proven success with Fortune 500 companies managing petabytes of data across complex environments.
We measure success by your business outcomes, not just technical implementation metrics.
Schedule a free consultation with our data architects and discover how we can help you build a scalable, secure, and cost-optimized data platform.
Response within 24 hours. No obligation.
Explore our other consulting services that complement data architecture.
Comprehensive Azure cloud services including migration, architecture, security, and DevOps.
Learn MoreTransform your data architecture into actionable insights with enterprise Power BI solutions.
Learn MoreBuild responsible AI on your data platform with proper governance, ethics, and compliance frameworks.
Learn MoreData architecture consulting is the design, implementation and governance of enterprise data platforms — data lakes, warehouses, lakehouses and real-time pipelines — so that raw source systems become analytics-ready for tools such as Power BI and Azure Machine Learning. EPC Group works across Azure Synapse, Microsoft Fabric, Azure Data Factory, Azure Databricks, Azure Data Lake Storage and Azure Event Hubs.
Scope is set in a discovery session and then fixed in a written Statement of Work, so commercial terms are agreed before work begins rather than accrued hourly. What drives scope is source-system count, the compliance regime in play, data volume, and whether real-time pipelines are included. EPC Group provides a written estimate after discovery.
Five phases: Assess, Design, Build, Migrate, Optimize. Assess inventories source systems and current-state gaps; Design produces the target architecture and governance model; Build stands up the platform; Migrate moves workloads with validation at each cut-over; Optimize tunes cost and performance and hands over runbooks.
Healthcare under HIPAA, financial services under SOC 2 and SOX, government under FedRAMP and GCC, plus manufacturing, retail, education and energy — each with its own compliance and security configuration rather than a generic baseline.
Microsoft Fabric consolidates lakehouse storage, data engineering, real-time intelligence and Power BI onto one capacity model. Whether Fabric is the right target, or whether Synapse and Databricks remain a better fit, is a decision the Assess phase makes on evidence rather than by default. EPC Group delivers both.
EPC Group specializes in creating modern enterprise data architectures on Azure. Our offerings include data lakes, data warehouses, data lakehouses, and real-time analytics platforms.
We utilize:
With enterprise Microsoft experience since 1997, we serve Fortune 500 companies and federal government clients.
Unified analytics service combining data warehousing and big data. We design dedicated SQL pools, serverless SQL pools, Apache Spark pools, and Synapse Link for real-time operational analytics.
Code-free ETL and data integration service. We build pipelines connecting 100+ data sources to Azure landing zones. Includes monitoring, alerting, and CI/CD pipeline deployment.
We offer an Apache Spark-based analytics platform for large-scale data engineering and machine learning model training. Our designs include medallion architectures in Delta Lake, supported by Databricks.
Petabyte-scale storage with hierarchical namespace for structured, semi-structured, and unstructured data. We design zone partitioning, lifecycle management, and RBAC access control.
Enterprise data governance platform for data cataloging, classification, and lineage. We implement automated data scanning, sensitivity labeling, and data access policies across hybrid multi-cloud environments.
Data architecture consulting involves the design, implementation, and governance of enterprise data platforms. These include data lakes, warehouses, lakehouses, and real-time pipelines.
This work links raw data sources to analytics-ready data. It supports tools such as Power BI, Azure ML, and other business intelligence applications.
Scope is set during a discovery session and then fixed in a written Statement of Work, so the commercial terms are agreed before any work starts. What drives scope is the number of source systems, the compliance regime in play, data volume, and whether real-time pipelines are in scope.
A single-platform modernization — moving one SQL Server warehouse to Azure Synapse, say — is a materially different engagement from a multi-source enterprise platform carrying compliance frameworks and streaming ingestion. EPC Group provides a written estimate after discovery rather than a published range, because a range detached from your source-system inventory is not an estimate.
Healthcare (HIPAA), financial services (SOC 2, SOX), government (FedRAMP), manufacturing, and education. EPC Group has completed 11,000+ enterprise Microsoft engagements across all major regulated industries since 1997.
A single-platform data warehouse modernization usually takes 12–20 weeks.
On the other hand, building a complete enterprise data platform is more extensive. This process includes:
Typically, this comprehensive build requires 6–12 months.
EPC Group offers a phased delivery approach. This ensures that business value is achieved at each milestone.
A data warehouse stores structured and transformed data. It is designed for SQL queries and reporting. On the other hand, a data lake keeps raw data in any format and is cost-effective.
A data lakehouse combines the best features of data lakes and data warehouses. It stores data in a lake, which is low-cost and supports any format. Additionally, it has a query layer that provides warehouse-like performance and ACID transactions. This query layer can be:
Talk to an EPC Group data architect about your current platform and target state. Call (888) 381-9725 or request a data architecture assessment.
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