SUCCESS, TOGETHER
The Databricks platform delivers the infrastructure and capabilities, but getting from use case ideation to value realization requires business logic knowledge, deep technical experience, and the bandwidth to execute. Most organizations face the same three barriers.
1
Organizations running 7–12 separate data tools spend the majority of engineering time on integration, not innovation. Siloed systems create inconsistent KPIs, governance gaps, and a TCO 3–4× above a unified platform.
2
85% of AI projects never reach production. Teams build impressive proof-of-concepts but lack the patterns, governance, and engineering rigor to operationalize them, stalling months before delivering business value.
3
Senior Databricks engineers are scarce and expensive. Internal teams often lack the bandwidth to implement best-practice architectures and open-ended consulting engagements routinely overrun scope and budget.
A modular, outcome-driven professional services accelerator that gives organizations a structured path from Databricks investment to production-ready capabilities. You choose the modules that match your priorities. We deliver defined outcomes.
2-week Intensive Discovery • Reference Architecture • Unity Catalog Design • Use Case Prioritization • Strategic Roadmap
Bronze → Silver → Gold migration to Databricks Lakehouse & Unity Catalog. The prerequisite layer that all downstream modules build on.
Production MLOps: MLflow experiment tracking, Unity Catalog model registry, Model Serving endpoints, inference monitoring, CI/CD patterns.
AI/BI Dashboards and Genie spaces on Unity Catalog Silver/Gold data. Analysts query in natural language Executives get real-time dashboards.
Custom applications hosted on Databricks Apps surfacing governed data and AI capabilities to business users. No separate infrastructure.
Databricks Lakewatch: the open, agentic SIEM on your Lakehouse. Detection-as-code, Unity Catalog audit, SIEM integration, compliance reporting.
Customer engineering team owns implementation. Infinitive provides architecture design, code reviews, and async Q&A with an 8-business hour response SLA. Delivers both assets and team capability.
Customer builds, consultant guides
The Infinitive team owns all implementation: architecture, code, pipelines, dashboards, and deployment. Faster path to production-ready deliverables. Ideal when customer teams have limited Databricks experience or bandwidth.
CONSULTANT BUILDS
Choose your skillset. These resources onboard as fully credentialed members of your team, maintaining operations and driving long-term vision and success.
OPERATIONAL SUPPORT
1
90-minute conversation to map your Databricks environment, priorities, and uses cases to the right modules and delivery model focusing on business value outcomes.
2
Technical scoping where we produce a fixed-scope Statement of Work.
Clear deliverables, defined hours, no open-ended billing.
3
Define KPI's & Success Criteria
Align Stakeholders and Decision Makers
Architecture design and roadmap in 2 weeks.
PATH TO SUCCCESS
