AI, Data & Intelligence
Cloud Data Platforms
End-to-end cloud data platform engineering, serverless data architectures, cloud data migrations and infrastructure automation.
Capability overview
What cloud data platforms involves
Cloud data platforms provide the modern foundation for enterprise analytics, business intelligence and machine learning. We engineer end-to-end cloud data platforms on Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP).
We implement Infrastructure as Code (Terraform), serverless ingestion tools, cloud data warehouses and cloud data security guardrails.
Our cloud data platform engineers build highly available, auto-scaling data environments that minimize operational overhead and scale cost-effectively with corporate growth.
During the cloud data platforms engagement, our specialists work closely with your technical leads to establish tailored operational workflows, automated validation controls and clear deliverables for aws data platform engineering and azure data platform setup. From initial cloud architecture planning through to terraform scripting, we embed continuous telemetry monitoring, structured documentation and risk mitigation rules tailored specifically for your organization's cloud data platforms goals and gcp data platform setup requirements.
What is included
What the engagement covers
AWS Data Platform Engineering
Building cloud data platforms using AWS S3, Redshift, Glue, EMR, Athena and Lambda serverless services.
Azure Data Platform Setup
Architecting Azure Data Lake Storage, Synapse Analytics, Azure Databricks and Data Factory pipelines.
GCP Data Platform Setup
Deploying Google Cloud BigQuery, Dataflow, Dataproc, Cloud Storage and Pub/Sub architectures.
Terraform Infrastructure as Code
Automating cloud data platform provisioning, IAM security policies and networking using Terraform.
How we work
How we deliver cloud data platforms
Cloud Architecture Planning
Analyzing enterprise data requirements, compliance rules, existing cloud footprint and budget targets.
Terraform Scripting
Writing modular Infrastructure as Code scripts to provision VPC networks, storage buckets, warehouses and IAM roles.
Platform Service Configuration
Configuring cloud data ingestion, transformation, storage and security services according to architecture specs.
Security & Compliance Auditing
Enforcing KMS encryption, private endpoints, IAM least-privilege security and CloudTrail logging.
Operational Handover
Delivering complete infrastructure code repositories, operational runbooks and platform administration training.
Related capabilities
Related capabilities in Data Engineering & Platforms
Data Strategy
Enterprise data strategy, governance frameworks, data architecture roadmaps and modern data platform planning.
Data Architecture
Designing scalable cloud data architectures, data lakehouses, data mesh structures and enterprise data models.
Data Engineering
Engineering reliable data pipelines, automated data transformation workflows and enterprise data platform integrations.
Data Pipeline Development
Custom batch and real-time data pipeline development, workflow orchestration and data stream integration.
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Where this applies
Healthcare & Life Sciences
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Manufacturing & Industrial
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Banking, Financial Services & Insurance
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Questions & answers
Questions about Cloud Data Platforms
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionAWS, Azure and GCP all offer outstanding data services; selection depends on your existing enterprise cloud contracts, skills and architecture needs.
Cloud data platform builds are quoted as fixed-fee engineering projects or dedicated cloud infrastructure squad retainers.
Terraform provides automated, repeatable Infrastructure as Code, preventing configuration drift and making platform deployments fast and version-controlled.
Next step
Discuss cloud data platforms with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.