Cloud technical account management

Your cloud platforms, professionally managed.

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.

AWS Microsoft Azure Google Cloud Databricks Snowflake

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
29 projectsdelivered end to end — case studies →
5 platformsAWS, Azure, GCP, Databricks, and Snowflake under management
1 named engineerwho knows your estate — not a rotating queue

Start a conversation

Tell us what your cloud looks like today.

A short scoping call, an estate assessment, or a straight quote — whichever gets you moving fastest.