For IT service firms
Add senior DBA, migration, BI, analytics, and AI delivery under your brand.
Datrick
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Enterprise data operations and AI delivery
Senior DBA, migration, BI, analytics, and Claude delivery for IT service firms and technology leaders.
Two buyer paths
Add senior DBA, migration, BI, analytics, and AI delivery under your brand.
Recover ownership when a key person leaves, a handover fails, or critical delivery stalls.
When teams bring us in
Critical databases, dashboards, scripts, or reports still need an owner.
Add senior DBA, BI, migration, analytics, or Claude delivery under your brand.
Restore broken reporting, data refreshes, migrations, or database operations.
Create and review technical tasks, rubrics, model outputs, and Claude workflows.
Experience
Senior data architects lead every engagement across data-intensive environments.
Entry points
Monitoring, incidents, backups, restores, escalation, and operational review.
QA, testing, optimization, reporting continuity, and transition support.
Dashboard fixes, KPI definitions, refresh reliability, and handover.
Data models, pipelines, integrations, analysis, and recurring reporting.
System inventory, access, runbooks, known issues, and dependencies.
Claude workflows for reporting, triage, document analysis, and migration QA.
Technical teams for evaluations, rubrics, golden answers, and expert review.
Why Datrick
Clear scope, steady communication, documentation, and protected account ownership.
Visible next steps through departures, failed handovers, and delivery breaks.
Start with one urgent need, then expand after delivery is proven.
Named responsibility, direct communication, and a practical delivery cadence.
Datrick + Anthropic
We turn Claude experiments into governed production workflows for reporting, operations, migrations, and internal knowledge.
Talk to a Claude implementation expertPrioritize use cases, readiness gaps, risks, and measurable outcomes.
Build internal assistants, document intelligence, data copilots, and workflow automation.
Run code workshops, workflow design sessions, and safe operating training.
Add migration QA, evaluations, access controls, logging, fallbacks, and support.
AI model training teams
Design coding, data, SQL, debugging, migration, and workflow tasks.
Review correctness, safety, reasoning, code behavior, and edge cases.
Managed technical contributors with quality review and delivery cadence.
Apply DBA, BI, analytics, software, and workflow expertise.
How AI projects start
Rank workflows, review data readiness, and define implementation scope.
Output Opportunity map, ROI model, scope recommendation.Deploy one workflow with human review and measurable outcomes.
Output Production workflow, documentation, handoff plan.Run multiple monitored workflows with an improvement cadence.
Output Multi-workflow deployment, operating rhythm, ongoing support.Relevant environments
Best for data-intensive environments that need dependable systems, clear escalation, and visible delivery.
Engagement model
Identify the problem, systems, risks, and operating outcome.
Define coverage, deliverables, access, escalation, and acceptance.
Review runbooks, environments, dashboards, alerts, and known issues.
Execute through a named lead with visible status and escalation.
Align stakeholders through progress, blockers, findings, and summaries.
Document issues, tune systems, automate work, and improve reporting.
Contact
Describe the situation. A senior lead reviews every inquiry and responds within one business day with a scoping recommendation or qualifying questions.