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8(A) FEDERAL DATA SERVICES

8(a) Federal Data Services — Lakehouse on Microsoft Fabric & Databricks

Alliance Global Tech designs and operates federal data services — from ingest and Lakehouse architecture through analytics and AI-ready feature engineering. Backed by 10+ continuous years on the CMS OnePI / OPIDS healthcare data program, our 21-chapter SAS Viya on Azure AKS administration reference, and a senior architect bench with Azure Solutions Architect Expert and Databricks credentials.

Schedule a Discovery Call → Download Capability Statement
8(a) Sole-Source Eligible Direct award up to $4.5M No competitive procurement required
Federal data services Lakehouse architecture on Microsoft Fabric and Databricks for federal analytics
01 / OVERVIEW

Federal Mission Outcomes Are Limited by the Data Infrastructure Behind Them

Federal agencies sit on petabytes of mission data — claims, tax records, weather, geospatial, personnel, sensor — but that data is trapped in legacy warehouses, siloed in agency components, undocumented, and inaccessible to the analysts and AI systems that need it. Federal Data Strategy, the Evidence Act, and OMB M-19-23 set the direction. Execution is the gap.

AGT closes that gap with disciplined federal data services delivery, modern Lakehouse architectures on Microsoft Fabric and Databricks, federal-grade governance, and senior architects who have spent more than a decade on CMS healthcare data. Integrated with our cloud platform and feeding our AI services.

By the Numbers
10+ yrs
continuous data delivery on CMS OnePI healthcare fraud analytics
21-chapter
SAS Viya on Azure AKS administration reference authored by AGT
Lakehouse
reference architectures on Microsoft Fabric and Databricks for federal use
AI-ready
feature engineering and vector pipelines for federal AI workloads
02 / CAPABILITIES
WHAT WE DELIVER

End-to-End Federal Data Services

Our federal data services span the first data strategy workshop through operating a multi-domain Lakehouse — and the AI-ready feature platforms layered on top.

Federal Data Strategy & Governance

Federal data services strategy alignment, data product taxonomy, master data management, data catalog implementation (Purview, Collibra, Unity Catalog), and governance operating model your CDO can run.

Microsoft Fabric Lakehouse

Federal data services on Microsoft Fabric Lakehouse with medallion design (bronze/silver/gold), Delta table format, OneLake integration, and Purview governance baked in from day one.

Databricks Lakehouse on Azure & AWS

Federal data services on Databricks Lakehouse with Unity Catalog, Delta Lake, MLflow integration, and federal-grade identity. Production-ready, not lab demos.

Data Engineering & Pipelines

Our federal data services include production-grade ingestion (Azure Data Factory, AWS Glue, Fivetran, Airbyte) and streaming (Event Hubs, Kinesis, Kafka), transformation (dbt, Spark), and orchestration (Airflow, Dagster) at federal scale.

BI & Analytics (Power BI, Tableau)

Federal data services analytics — Power BI, Tableau, Cognos, and Qlik delivery on governed semantic models. We build the data products and dashboards your program officers, IGs, and Congressional liaisons actually use.

AI-Ready Feature Platforms

Federal data services for AI — feature stores, vector databases, embedding pipelines, and synthetic data — the foundation that determines whether your AI program succeeds. Built for AI consumption from the data side, not retrofitted.

03 / METHODOLOGY
OUR METHODOLOGY

DataLakehouse™ — Five-Phase Federal Data Delivery Framework

AGT DataLakehouse™

Refined across AGT’s 10+ year CMS OnePI engagement and the documented SAS Viya on Azure AKS production reference deployment. DataLakehouse explicitly designs for AI consumption from day one — so your data platform serves both analytics and AI workloads.

  1. Discover

    Data inventory, lineage mapping, privacy and classification baseline, use-case prioritization, target-state architecture.

  2. Architect

    Lakehouse design, security boundary, identity model, governance integration, capacity planning for federal data volumes.

  3. Build

    Pipelines as code, dimensional and semantic models, catalog and lineage instrumentation, CI/CD for data products.

  4. Operate

    Run the platform with SLOs, data quality monitoring, cost guardrails, and incident response for data outages.

  5. Evolve

    New data products, AI feature platforms, analytics adoption metrics, continuous modernization of legacy components.

04 / PAST PERFORMANCE
PROVEN AT FEDERAL SCALE

Federal Data Delivery Already in Production

AGT’s federal data services practice is grounded in long-tenured engagements — and we have personally authored the reference architectures we recommend.

CMS / CPI

OnePI & OPIDS — 10+ Years Healthcare Fraud Data

Decade-plus continuous support to the CMS Center for Program Integrity’s enterprise analytics platform — Oracle Siebel, BIP, Cognos, and AWS — serving 1,000+ fraud investigators across all 50 states with claims analytics at federal scale.

Result
10+ year data platform delivery with zero audit findings.
Reference Build

SAS Viya on Azure AKS — 21-Chapter Production Guide

AGT authored the definitive 21-chapter SAS Viya on Azure AKS Administration Guide (rg-sasviya-dev and rg-sasviya-prod resource groups), used as a federal data analytics modernization reference architecture.

Result
Federal-ready Lakehouse-and-analytics deployment pattern documented in production detail.
AGT Products

DocuAction + GovCon Platform Data Infrastructure

AGT-built data infrastructure powers DocuAction (document intelligence on PostgreSQL with AI extraction) and the GovCon Procurement Intelligence Platform (44 DB tables, 201 API endpoints) — both live in production.

Result
Production data platforms built and operated end-to-end by AGT.
05 / WHY AGT
WHY ALLIANCE GLOBAL TECH

Data Architects With 10+ Years Inside Federal Healthcare Data — Not Just Lakehouse Slideware

Federal data work is unforgiving. PII, PHI, classification, audit, retention, and accessibility all collide. AGT engineers have lived in that environment for over a decade on CMS OnePI — and we bring that operational instinct to every engagement.

01

Decade in Federal Healthcare Data

10+ years on CMS OnePI is rare. We know Siebel, BIP, Cognos, AWS, claims schemas, and the realities of federal healthcare data audit.

02

Lakehouse, Not Warehouse

We build Microsoft Fabric and Databricks Lakehouse platforms — not 2015-era data warehouses. Open table formats, decoupled compute, AI-ready.

03

AI-Data Crossover Expertise

Our data and AI practices share architects. Vector stores, feature platforms, and embedding pipelines are designed jointly, not handed off.

04

Easy Federal Contract Vehicles

8(a) sole-source up to $4.5M. GSA MAS 47QTCA21D003M (SIN 54151S). SeaPort NxG. Maryland Master Contractor. Your CO can award AGT directly — no competitive procurement required.

Certifications & Accreditations
CMMI Level 3
Appraised
ISO 27001:2013
InfoSec
ISO 9001:2015
Quality
ISO 20000-1
Service Mgmt
SBA 8(a)
Certified
DoD FCL
Facility Clearance
Contract Vehicles
8(a)Sole-source direct award up to $4.5M
GSA MAS47QTCA21D003M · SIN 54151S · 54151HACS
SeaPort NxGNavy multiple-award IDIQ
MDOT MBEMaryland Master Contractor
06 / TOOLS & STANDARDS
TOOLING AND STANDARDS

Data Platforms and Tools We Standardize On

Federal-aligned, cloud-native, and chosen for performance plus governance.

Lakehouse Platforms
Microsoft Fabric Databricks Snowflake Azure Synapse AWS Redshift BigQuery
Ingestion & Streaming
Azure Data Factory AWS Glue Fivetran Airbyte Event Hubs Kinesis Kafka
Transformation & Orchestration
dbt Spark Airflow Dagster Prefect
BI & Visualization
Power BI Tableau Cognos Qlik Looker ThoughtSpot
Governance & Catalog
Microsoft Purview Unity Catalog Collibra Alation Apache Atlas
Legacy & Federal
SAS Viya Oracle Teradata Informatica DataStage
07 / RESOURCES
FEDERAL IT RESOURCES

Resources & Downloads

For federal contracting officers, agency CIOs, and program managers evaluating AGT.

PDF · 2 PAGES

Capability Statement

Agency-ready overview with past performance, CAGE, UEI, and contract vehicles.

Download
WHITE PAPER

Data Services Reference Architecture

Technical deep-dive with reference architecture, NIST control mapping, and implementation patterns.

Download
QUICK GUIDE

8(a) Sole-Source Procurement

What contracting officers need to award AGT directly. Process, ceiling, timing.

Download
SUMMARY

Past Performance Index

CMS, Navy, IRS, Treasury, USPTO references and contract data points.

Download

Ready to Modernize Your Federal Data Platform?

Schedule a 30-minute federal data services strategy conversation. We will review your current data estate, identify the two highest-value data products to build first, and map them to a Lakehouse target architecture.

Schedule a Discovery Call → Email sales@agtbi.com

Average response time · 4 business hours · Discovery calls are no-cost & no-obligation

08 / FAQ
FREQUENTLY ASKED

Data Services — Common Questions

Common questions from federal contracting officers and agency CIOs about AGT’s federal data services.

Do you do Microsoft Fabric or Databricks?
Both. We hold Azure Solutions Architect Expert credentials and have hands-on Databricks delivery experience. We pick the platform based on your existing stack, governance posture, and analytics workload — not based on vendor preference.
Can you migrate a legacy SAS or Cognos environment to a modern Lakehouse?
Yes. We authored a 21-chapter SAS Viya on Azure AKS administration reference, and have done Cognos to Power BI and SAS to Python/Spark migrations. Our methodology preserves institutional knowledge in legacy SQL — we do not throw it away.
How do you handle PII and PHI in federal data platforms?
Classification at ingest, tokenization or encryption at rest, column-level access control via Unity Catalog or Purview, and audit logging for every data product access. We work with your privacy officer to keep the data minimization story defensible to your IG.
Do you support AI-ready data engineering?
Yes. Our AI and Data practices share architects. We build vector stores, feature platforms, and embedding pipelines as part of the data architecture — not bolted on after the fact when the AI team complains about data quality.
What is your typical data platform engagement size?
Sweet spot: $500K to $20M annual data engineering engagements. We have delivered both shorter assessments (8-12 weeks) and multi-year platform operations programs. CMS OnePI is 10+ years and counting.
How do you handle Federal Data Strategy and the Evidence Act?
Every AGT data engagement includes a Federal Data Strategy alignment review — data inventory, data product framing, and Evidence Act / OMB M-19-23 compliance. We deliver documentation ready for your Chief Data Officer’s annual reporting.
Can you integrate legacy mainframe data into modern Lakehouse?
Yes. We have experience extracting from VSAM, DB2, and IMS legacy mainframe sources using IBM CDC, Precisely Connect, and other mainframe-to-cloud ingestion patterns — preserving record structure and access control.
Do you offer managed data platform operations?
Yes. Post-implementation, AGT provides managed data platform operations including pipeline monitoring, data quality SLO management, cost optimization, and ongoing data product development. Typically structured as a follow-on T&M or FFP task order.
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