Databricks consulting & implementation services
XCentium helps organizations design, implement, and operationalize data and AI solutions on the Databricks Data + AI Platform.
Our work connects data engineering, governance, analytics, and AI so trusted enterprise data can support reporting, decision-making, applications, and agentic workflows.
Databricks platform capabilities
Databricks brings data engineering, analytics, governance, and AI into one platform. Its current product set is built around unified data foundations, governed AI, and self-service access to business insight.
Lakeflow data engineering
Ingest, transform, orchestrate and monitor batch and streaming data pipelines across enterprise sources.
Unity Catalog
Govern data, models, apps, and AI agents through centralized access controls, lineage, auditing, and shared business context.
Databricks SQL & lakehouse analytics
Run data warehousing and SQL analytics directly on lakehouse data with serverless compute and integrated governance.
AI/BI & Genie
Create dashboards and conversational analytics experiences that let business users explore governed data through natural language.
Agent Bricks & Unity Gateway
Build data-driven agents with Agent Bricks and govern model, tool, MCP, and agent access through Unity Gateway and the broader Databricks governance layer.
How XCentium helps with Databricks
Our Databricks engagements begin with the business questions the data and AI environment needs to answer. We then design the architecture, pipelines, governance, and consumption layer around those outcomes.
Data strategy & architecture
Define the lakehouse architecture, domain model, integration approach and operating model for data and AI workloads.
Lakeflow implementation
Build ingestion, transformation, orchestration, and monitoring pipelines across batch and real-time data sources.
Governance with Unity Catalog
Establish access models, lineage, catalog structure, and governance patterns across data, analytics, and AI assets.
Analytics & AI/BI
Create SQL analytics, dashboards and Genie experiences that give business users governed access to insight.
AI applications & governed agent workflows
Build AI applications and agent workflows grounded in enterprise data, with evaluation, Unity Gateway controls, security, and operational oversight.
Business outcomes
Our Databricks work is designed to improve the quality, accessibility and usefulness of enterprise data while creating a governed foundation for analytics and AI.
Trusted data foundation
Bring data engineering and governance together so teams can work from consistent, well-managed information.
Faster access to insight
Reduce the distance between data and decision-making through self-service analytics and conversational interfaces.
More reliable data pipelines
Improve observability, orchestration, and data quality across production data workflows.
Governed AI adoption
Apply shared security, lineage, and access controls to data, models, agents, and AI applications.
Scalable analytics & AI
Use a unified platform that can support reporting, data science, machine learning, and agentic use cases as needs expand.
Related assessments & offers

Data readiness assessment
Evaluate the quality, structure, and accessibility of your data to support analytics and AI initiatives.

AI use case workshop
Identify practical AI opportunities aligned to your business goals, workflows, and operational priorities.
Frequently asked questions
Databricks is a Data + AI Platform that unifies data engineering, analytics, governance, business intelligence, machine learning, and AI application development.
XCentium provides Databricks strategy, architecture, Lakeflow implementation, Unity Catalog governance, SQL analytics, AI/BI, Genie, AI application development, and integration services.
Unity Catalog is Databricks' unified governance layer for data and AI. It manages access, lineage, auditing, and discovery across data, models, applications, and agentic assets.
Lakeflow is Databricks' data engineering solution for ingestion, transformation, orchestration, and monitoring across batch and streaming workloads.
Databricks AI/BI is its AI-powered business intelligence offering. It includes dashboards and Genie experiences that help business users explore governed data using visual analytics and natural language.
Yes. Databricks supports data-driven agents through Agent Bricks and related agent tooling, while Unity Gateway provides centralized access, routing, monitoring, and governance across models, tools, MCP servers, and agents.
Talk to a Databricks expert
Whether you are improving data engineering, expanding analytics or building governed AI applications, XCentium can help define the Databricks architecture and implementation path.