Databricks Consulting

Unlock the full potential of your data with Databricks.

Our mission is Quality without Compromise. We bridge complex data engineering and actionable business wisdom on the Databricks Lakehouse — governed, accessible, and primed for AI.

Databricks Bronze Partner3 Advanced SpecializationsAWS · Azure · GCP
UNIFIED LAKEHOUSEDATABRICKS / WORKSPACE
StreamBatchSaaSFiles
LFLakeflow · Ingest · Bronze
Connectors · CDC
ΔDelta Lake · Iceberg · Silver
ACID · Quality
GCurated · Gold
Star schemas
UCUnity Catalog · Governance
Lineage · Access
AIMosaic AI · Agent Bricks · Genie
Agents · RAG · Serve
SQLBI / GenieMLApps / Agents
30+Years Delivering
10k+Projects Shipped
100+Lakehouse Checks
24×7Managed Support

The Maturity Model

Databricks Customer Evolution Journey.

YEARS 0–2
Build the Foundation

Build Lakehouse architecture, govern data, and operationalize trusted analytics.

YEARS 2–3
Build ML Data Products

Leverage governed data to build, deploy, and operationalize ML products at scale.

YEAR 3+
Deliver Agentic AI & Intelligence

Democratize intelligence and scale agentic AI across the enterprise.

EXPERIENCES & SOLUTIONS
Agent Bricks
Production AI agents
AI/BI
Agentic business intelligence
Custom Apps
Secure data and AI apps
And more…
AI WITH ENTERPRISE CONTEXT
AI with Enterprise Context
Genie
DATA & AI PLATFORM
Lakeflow
Ingest, ETL, streaming
Lakehouse
Data warehousing
Lakebase
Serverless Postgres
GOVERNANCE & SECURITY
Unified Governance
Access, policies, lineage, quality
Unity Catalog
Data, AI & business catalog
OPEN & FLEXIBLE FOUNDATION
Open Formats
Open, interoperable, future-ready
Delta Lake
Iceberg
Postgres

Databricks Specializations & Certifications

Advanced — the Lakehouse — Databricks badge
Advanced — the Lakehouse
DATABRICKS · LEADERSHIP
Advanced Data Interop with SAP — Databricks badge
Advanced Data Interop with SAP
DATABRICKS · LEADERSHIP
Advanced Data & AI Governance — Databricks badge
Advanced Data & AI Governance
DATABRICKS · LEADERSHIP

What Is Databricks

The Data Intelligence Platform — six pillars, one workspace.

Databricks unifies data engineering, warehousing, analytics, and AI on a single platform built around the lakehouse — powered by a Data Intelligence Engine that understands your data.

Lakehouse Architecture

The open foundation of the Data Intelligence Platform. One source of truth across all data types.

Delta Lake & Iceberg

Open table formats with ACID transactions, time travel, and reliability — never locked in.

Unity Catalog

Centralized governance for data and AI assets across clouds, teams, and workloads.

Lakeflow

Unified ingest, transform, and orchestrate for batch and streaming — quality built in.

Mosaic AI & Agent Bricks

Build, evaluate, and ship production-grade AI agents with Vector Search and MLflow.

Databricks SQL & Lakebase

Serverless SQL warehousing on open lake data, plus the first Postgres OLTP in the lakehouse.

Our Databricks Offerings

Four disciplines, one delivery team.

From a five-minute maturity assessment to full Unity Catalog governance and production MLOps, the depth is here. Most engagements start with one and grow.

01 / 04

Data & AI Strategy

  • Assessment — maturity scoring across 5 dimensions in 5 minutes
  • Fit-for-purpose AI — Classical ML, Forecasting, LLM, or Agents
  • Lakehouse build using Medallion architecture blueprints
02 / 04

Unity Catalog Governance

  • HMS → Unity Catalog migration via UCX Assessment
  • Column-level lineage, row-level security, audit logging
  • Data contracts, tagging policies, dev / prod separation
  • Compliance-ready
03 / 04

Implementation

  • Bronze → Silver → Gold engineering with Delta Live Tables
  • Incremental ingestion, ETL/ELT, streaming via Auto Loader
  • CI/CD Accelerator — production pipelines from sprint one
  • Managed Services
04 / 04

AI & MLOps

  • Mosaic AI, AgentBricks, AI Gateway, and Vector Search
  • MLOps Accelerator — feature store, registry, drift, retraining
  • Agentic AI workflows
  • Responsible AI — explainability, bias detection, audit

XTIVIA Platforms & Accelerators

Our IP does the heavy lifting.

Four XTIVIA-built platforms and accelerators compress the path from assessment to production — so your team ships value, not boilerplate.

DATAASSESSMENT

Insight360 DataKit

Hundreds of automated checks across governance, security, and performance — a weighted Lakehouse maturity scorecard your CTO can act on.

FINFINOPS

Insight360 FinKit

Real-time compute-cost visibility, predictive usage forecasting, and prioritized savings your CFO can defend.

CIDELIVERY

CI/CD Accelerator

Production-ready deployment pipelines from sprint one — safe, repeatable deploys engineered for Databricks.

MLMLOPS

MLOps Accelerator

Feature store, model registry, drift detection, and automated retraining — the full lifecycle, operationalized.

XTIVIA Insight 360

The Databricks assessment your CFO and your CTO both want.

Insight 360 combines real-time visibility with automated checks across security, governance, and performance — and delivers executive insights through a weighted maturity scorecard. Optimize compute spend. Mitigate risk. Drive efficiency.

DATA

Insight360 DataKit

Governance & ML best practices — Unity Catalog, lineage, and the model lifecycle, scored end to end.

insight360 · datakit / acme-corp · prod
UNITY CATALOGLAKEFLOW · GA
Lakehouse Maturity · Governance + ML
64/100
Maturity
Unity Cat.
82
Lineage
58
Masking
49
Lakeflow
71
MLflow
34
Catalogs · Schemas · Tables
14 · 86 · 1,247
Unity Catalog · 96% governed coverage
ML Models · Production
38 tracked
12 in production · 5 stale > 90d
PRODchurn-predictor-v4AUC 0.91
DRIFTdemand-fcst-store14d
Top findings · governance & ML
CRIT27 tables in finance.* missing column-level masking on PIIUNITY · ACL
WARNLineage gaps on 11 silver→gold transformations — manual DBSQLLINEAGE
WARN5 MLflow models with no champion-challenger eval in 90+ daysMLOPS
OKLakeflow expectations coverage at 91% across pipelinesQUALITY

Best Practices — Unity Catalog, ML

Validated against Databricks-published reference patterns.

Governance & Performance

Lineage, masking, and access — checked end to end.

Unified Maturity Scorecard

One score, ten domains, all signal.

Actionable Fixes with Reporting

Every finding pairs with a remediation engineers can run.

On-Demand or Scheduled

Run once, weekly, or before every release.

Deployment Ready

Dockerfile + GitHub repo — clone, configure, run.

User-Friendly, Easy Adoption

Engineers and execs use the same dashboard, differently.

Exec-Friendly Visuals

Maturity, risk, and cost — defensible in a board pack.

FIN

Insight360 FinKit

Cost & FinOps — real-time spend visibility, predictive forecasting, and prioritized savings.

insight360 · finkit / acme-corp · prod
LAST 30DAZURE
FinOps Maturity · Weighted Scorecard
76/100
Maturity
Tagging
88
Policies
54
Right-size
72
Idle
38
Discounts
81
Compute Spend · Trailing 30d
$148.2K↓ 12%
vs. prior 30d · projected $612K Q-end
Projected Savings · Recommendations
$24.6K/mo
7 actionable findings · est. 4–6 hr work
JOB CLUSTERS · 14PHOTON OFF · 6AUTO-TERM · 9
Top findings · sorted by impact
CRIT14 all-purpose clusters used for scheduled jobs — convert to job clusters+$11.2K/mo
WARNCluster policy enforcement gaps on 3 workspaces — drift detectedGOVERNANCE
WARNCost-center tag missing on 11% of workloadsTAGGING
OKPhoton adoption ↑ to 84% — query latency p95 down 31%RUNTIME

Maturity Scorecard

Weighted scoring across compute, governance, and cost.

Predictive Cost-Usage

Forecast workspace spend before it hits the invoice.

Rapid Deployment

Dockerfile + GitHub Action — running in under a day.

Operational Efficiency

Policy gaps, runtime drift, and idle compute, surfaced.

Faster Business Decisions

Exec-ready visuals so leadership can act.

Proactive Monitoring

Scheduled runs flag regressions before users notice.

As our Databricks usage has grown across multiple team members and workloads, we needed an objective assessment of where we stood on security, governance, cost efficiency, and operational best practices. XTIVIA's Insight 360 delivered that and more. The assessment evaluated hundreds of checks across our compute, data, jobs, FinOps, and MLOps configurations and surfaced critical findings. What impressed me most was how quickly the team translated raw findings into clear, prioritized recommendations our engineers could act on immediately.

Regis VogelExecutive Director, Digital InfrastructureTHE UNIVERSITY OF MICHIGAN
University of Michigan
Digital Infrastructure

Success Stories

Real-world Databricks with XTIVIA.

Two engagements that started with a focused scope and grew into long-term partnerships. Both built on Databricks as the unifying layer.

Healthcare SaaS Provider

Hadoop → DBXLegacy modernization to Lakehouse
0Hand-coded scripts in the new pipeline
Scale headroom for AI/ML expansion
24×7Ongoing managed services

Modernizing a healthcare revenue management platform.

A leading healthcare SaaS provider was struggling with an unscalable, complex Hadoop ecosystem. Processes were error-prone and reliant on a few individuals. They needed a modern foundation — and room to grow into analytics, ML, and AI.

XTIVIA implemented scalable Databricks pipelines for incremental ingestion, cleansing, and integration. We consolidated disparate sources into one platform supporting data mining across every line of business, designed to scale with hooks for ML and AI.

A scalable, cost-effective analytics platform that ended single-person dependencies and enabled best-practice sharing. With XTIVIA on managed services, internal engineers were freed for strategic work.

DatabricksDelta LakeUnity CatalogLakeflowPySparkAzureMosaic AI
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International Analytics Firm

Azure × DBXEnvironment assessment + roadmap
3Use cases mapped: engineering, streaming, ML
P95Latency targets defined in roadmap
1 → NMulti-tenant architecture path

Azure environment assessment for an international analytics firm.

An international analytics firm needed to validate its Azure environment and get expert recommendations for a future-state architecture. Their platform had visible bottlenecks and data-quality issues — but no shared view of what to fix first.

XTIVIA conducted a structured assessment of the Azure environment, identifying performance bottlenecks and data-quality gaps. We recommended Databricks for data engineering, stream analytics, and ML — with a phased roadmap to a scalable target architecture.

A defensible architecture decision, a roadmap engineering could execute against, and a clear case for Databricks as the unifying platform across data engineering, streaming, and ML.

AzureDatabricksADLS Gen2Event HubsLakeflowUnity CatalogMosaic AI
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Why XTIVIA

Why teams pick us for Databricks specifically.

Most Databricks programs stall in the same places — cost hotter than value, governance trailing engineering, and 'one more pipeline' becoming another quarter. We've shipped past those failure modes and leave the patterns behind.

01 / 04

Right-sized for the work

Small enough for personalized delivery. Large enough to staff multi-cloud, multi-region Databricks programs across AWS, Azure, and GCP.

02 / 04

Advanced Databricks specializations

Certified across Data Engineering, Data & AI Governance, and SAP Interop. Insight 360 runs hundreds of checks on every engagement.

03 / 04

Real-world delivery experience

Thirty-plus years of complex enterprise data work — Fortune 500 to growth-stage SaaS. We've seen the edge cases and written the runbooks.

04 / 04

Beyond a single project

A library of reusable patterns for ingestion, governance, and ML. Strategic advice that outlasts the engagement.

Field Notes

Six reads from the Databricks blog.

Our architects publish patterns and lessons from real Databricks engagements — utility, healthcare, financial services, higher ed. Start with these.

Let's Talk Today!

No obligation, no pressure. We're easy to talk with and you might be surprised at how much you can learn about your project by speaking with our experts.

XTIVIA CORPORATE OFFICE
304 South 8th Street, Suite 201
Colorado Springs, CO 80905 USA

Additional offices in New York, New Jersey, Texas, Virginia, and Hyderabad, India.

USA toll-free: 888-685-3101, ext. 2
International: +1 719-685-3100, ext. 2
Fax: +1 719-685-3400