Setup and planning, secure access, resource and cost management for AWS, Azure, GCP, Databricks, and Snowflake — with a named engineer who knows your estate and answers when it matters.
Platform names identify the technologies we administer; no affiliation or endorsement implied.
What we manage
Everything between "we signed up" and "it runs itself"
Most teams don't need another dashboard — they need someone accountable for the platform layer. That's the job.
Platform setup & landing zones
Accounts, subscriptions, and projects structured the way audits and growth demand — from day one or as a cleanup.
Account / subscription / project hierarchy
Network foundations and private connectivity
Infrastructure-as-code baselines
Environment separation: dev · test · prod
Secure access & identity
Least privilege that people can actually work under — and prove to an auditor afterwards.
SSO and identity federation
Role design and RBAC across platforms
Key, secret, and service-account management
Audit trails and access reviews
Cost & resource management
The bill stops being a surprise. Spend maps to teams, budgets alert before they burst, and idle resources get retired.
Budgets, alerts, and monthly cost reviews
Tagging standards and chargeback visibility
Right-sizing, reservations, quota management
FinOps reporting leadership can read
Snowflake administration
Warehouses sized to the work, roles that make sense, and credits that go to queries — not to forgotten sessions.
Warehouse strategy and auto-suspend policy
Role hierarchy and access governance
Resource monitors and credit budgets
Query performance and storage hygiene
Databricks administration
Workspaces that stay organized and clusters that stop running when the job does.
Workspace and Unity Catalog setup
Cluster policies, pools, and job compute
Permissions and data governance
Job orchestration and failure triage
Planning & architecture reviews
A second set of principal-level eyes before decisions get expensive.
Well-architected style assessments
Migration and modernization planning
Backup, DR, and resilience strategy
Reference architectures and costing
In-demand in 2026
AI on the platforms you already run
Among the fastest-growing service categories we take on — AI capability built and governed on your existing AWS, Azure, GCP, Databricks, and Snowflake estate, to the same audit-grade standard as everything else we manage.
AI integration on your cloud platform Hot
Production LLM and AI-service integration wired into your existing cloud estate — not a demo notebook that never ships.
Bedrock, Azure OpenAI, and Vertex AI setup & governance
RAG pipelines over Snowflake and Databricks data
Cost budgets, evaluation, and guardrails from day one
Access governance — who can call what, with which data
AI strategy & advisory Hot
Pragmatic AI roadmaps for mid-market teams — where AI pays off in your estate, and what it will actually cost to run.
AI readiness assessment across data and platforms
Use-case roadmap ranked by value and feasibility
Platform, vendor, and build-vs-buy selection
Rollout guidance: governance, security, and cost planning
Managed AI chatbot & agent deployment
Retrieval-grounded assistants deployed, monitored, and cost-controlled on your cloud — behind your own access controls.
Internal copilots over documents and warehouses
Customer-facing chat with escalation paths
Agent workflows for routine platform operations
Ongoing monitoring, cost control, and identity-aware access
Data engineering & analytics enablement
The pipelines, warehousing, and analytics foundations that AI workloads depend on — and that make the reporting readable.
Ingestion and ELT pipelines on your platforms
Warehousing and analytics-ready models
Semantic layers and self-serve reporting
Data quality checks and reconciliation
How we work
Assess, stabilize, then manage
A predictable engagement, not a black box.
1
Assess
We inventory your estate — accounts, access, spend, workloads — and hand you a findings report with a prioritized fix list. Yours to keep either way.
2
Stabilize
We work the list: security gaps closed, cost leaks stopped, structure and IaC baselines in place, documentation written down instead of remembered.
3
Manage
Ongoing technical account management: monthly reviews, budget and quota watch, upgrade planning, incident escalation, and a named engineer on the other end of the line.
Why Armour Platform X
Run by builders, not a ticket queue
The same team that architects and ships enterprise data platforms manages yours — so platform decisions are made by people who have lived with the consequences.
6 yearsof cloud & data platform delivery for US energy and technology clients