For companies that are looking to scale, cloud data engineering is the engine that accelerates transformation, unlocks new revenue streams, and provides agility as the world changes every week. If a company's data isn’t organized, connected, and accessible in a convenient format, it becomes a burden. But with modern cloud solutions from AWS, Azure, and GCP, it can be transformed into a source of insightful analytics, predictions, and strategic decisions. That’s where cloud data engineering partners step in. They’re the ones who build data architectures that can scale as a business grows. In this article, we’ve analyzed the top 25 cloud data engineering companies that have real experience working with leading platforms and solve problems of varying complexity—from building data lakes to completely updating outdated infrastructure.
Why Cloud Data Engineering Matters for Enterprise Growth
As data volumes grow and business processes become more complex, companies need tools that provide reliable, flexible, and scalable information management. Cloud data engineering is a way to keep data structured, accelerate analytics, and scale digital initiatives.
From Legacy to Modern: Why Enterprises Are Moving to the Cloud
Many enterprises still rely on legacy data storage systems that weren’t built for streaming, ML integration, or real-time data processing. This slows down development, limits scalability, and makes it difficult to launch new products. Moving to the cloud is a way to align IT infrastructure with current business needs. Cloud platforms enable rapid deployment, compute cost optimization, flexible access management, and growth-oriented architectures. That’s why more and more companies are leaving legacy systems behind.
The Business Impact of Scalable, Cloud-Based Data Platforms
Cloud data engineering is about efficiency, which is tangible not only technically, but also financially. Scalability allows you to pay only for those resources that are actually used. At the same time, you can quickly respond to loads: add capacity during peak periods and optimize them at other times. For businesses, this means faster analytics, more reliable integration with other systems, flexibility in product development and reduced decision-making cycles. Where data works without failures, new opportunities for scaling appear.
How AWS, Azure & GCP Shape the Modern Data Ecosystem
Today, the three leading cloud players—AWS, Azure and GCP—set not just a technological direction, but also the architectural logic of working with data. Each of the platforms offers its own ecosystem of services, from building data lakes to implementing pipelines in real time. AWS provides flexibility and broad support for enterprise solutions, especially in the areas of infrastructure and automation. Azure is often chosen by companies with a high dependence on Microsoft products. GCP has powerful tools for working with BigQuery, AI/ML and streaming analytics. A competent team of data engineers is able to combine these services into a stable, scalable system that not only meets the current needs of the business, but also allows it to grow without limits.
Top 25 Cloud Data Engineering Companies
Finding a tech vendor for your cloud data infrastructure is not just a matter of technical compatibility. It’s like choosing a partner with whom you’ll have to design a complex system that won’t break under the pressure of real business. Someone specializes in building pipelines for GCP, someone perfectly integrates analytics solutions into Azure, and someone has worked with AWS for years and deeply understands the nuances of architecture for enterprise workloads.
This overview includes 25 companies that not only have technical expertise, but also know how to implement cloud solutions with a business goal in mind. We’ve selected those who really know how to transform data, and not just declare it on their landing pages.
DATAFOREST
DATAFOREST is a data engineering company that works deeply with cloud technologies, focusing on the practical value of data. They do not have ready-made templates or universal solutions, they build solutions tailored to specific business needs. DATAFOREST is an official AWS partner. For a U.S. IT services and consulting company, they optimized resources, implemented better policies for storage, and improved internal traffic flow through architecture redesigns and dockerization. The results were impressive, with 23.5k in monthly savings, a 67.5% reduction in instance costs, 916 TB of unused storage removed, and an 8% speed improvement. Additionally, the company operates a more secure and robust infrastructure that can handle a doubling of clients with less than 16% cost growth.
To explore what DATAFOREST could do for your business, book a free consultation.
AWS Cost Reduction
The team's deep understanding of our needs allowed us to achieve a more secure, robust, and faster infrastructure that can handle growth without incurring exorbitant costs.
Headquarters: Kyiv, Ukraine
Core Cloud Platforms: AWS, Azure, GCP, Snowflake
Clients: Unilever, Amazon, eBay, IDN
Key Services: DevOps & Cloud Solutions, Infrastructure Cost Optimization, Cloud Architecture Design Service, Cloud Migration Services, Monitoring & Incident Management, Data Insights and Forecasting.
eGroup Enabling
eGroup Enabling is a 9x Microsoft Partner of the Year and a recognized leader in Data and AI, Cloud, Hybrid Cloud, Data Center, Security, and Managed Services. With over 30 years of experience, this team of experts empowers businesses to be more efficient, productive, and secure—wherever they may be within the digital transformation journey. eGroup Enabling Technologies' key partnerships include Microsoft, Nutanix, Rubrik, Zerto, Pure Storage, Cisco, Citrix, Cohesity, Audiocodes, Enghouse Interactive, and Arctic Wolf.
Headquarters: Mt. Pleasant, SC, USA
Core Cloud Platforms: Azure (Solutions Partner for Data & AI)
Clients: US corporate clients in finance, retail, healthcare
Key Services: Cloud data migration, ETL/ELT on Azure Data Factory, building data lakes, analytics via Azure Synapse and Databricks, artificial intelligence based on Azure ML.
Opinov8
Opinov8 is a trusted provider of custom software development, cloud and data services. Their team focuses on developing scalable data processing infrastructure, providing a full cycle—from readiness assessment to automated platform deployment. They pay special attention to AI/ML integration and flexible approaches to building analytical systems.
Headquarters: London, UK
Core Cloud Platforms: AWS, Azure, GCP
Clients:
Key Services: Cloud architecture, data migration, pipeline building, data lake/warehouse, real-time analytics, AI/ML, DevOps
Dualboot Partners
Dualboot Partners is a trusted technology partner that builds effective cloud infrastructure and data engineering solutions. They focus on creating intelligent, scalable architectures and implement AWS solutions with strong quality assurance. Through a strategic partnership with AWS, they have a proven ability to safely and effectively modernize legacy systems and launch data integration and analytics for clients across industries—from idea to result.
Headquarters: Raleigh & Charlotte, North Carolina, USA
Core Cloud Platforms: AWS, Azure, GCP
Clients: mPath, Boardroom Insiders
Key Services: Cloud Data Migration, Legacy System Modernization, ETL and Real-Time Analytics, Data Pipeline development, DevOps/CI-CD, AI/ML Solutions
Architech
Architech is a Canadian cloud software development firm that helps companies to modernize their enterprise systems and to innovate and scale cloud native applications. They leverage the latest cloud technology and top talent to help organizations succeed in today’s digital world. They leverage cloud adoption accelerators to get clients to market faster, with the full benefits of cloud-native including scalability, security, and resilience.
Headquarters: Toronto, Canada
Core Cloud Platforms: AWS, Azure, GCP (certified Microsoft Global Partner)
Clients: Roto-Rooter, Rogers, Freedom Mobile, SportChek
Key Services: Architecture and migration of cloud environments, data lake/warehouse creation and optimization, CI/CD and DevOps practices, AI/ML infrastructure, comprehensive data management and support
Stackgenie
Stackgenie is an innovative cloud consultancy that transforms companies’ technological infrastructure into scalable and agile systems. They are known for their expertise in Kubernetes, CI/CD, Terraform and Fluent DevOps practices. The company builds internal platforms that ensure development stability, policy enforcement, cost reduction and rapid scaling.
Headquarters: London, UK
Core Cloud Platforms: AWS, Azure, GCP
Clients: Flux, Argo, Kubecost, Istio,
Key Services: Platform Engineering, Kubernetes-centric solutions, CI/CD and DevOps automation, FinOps, secure cloud infrastructure
Intuz
Intuz is a global leader in digital transformation. They specialize in AI, IoT, mobile, and web applications. With 16+ years of experience, they have ISO 9001 certification and partnerships with Microsoft and AWS Cloud. They also have in-depth expertise in the IoT, Cloud, Blockchain and mobile domains. Intuz has completed dozens of projects with automation via CloudFormation, ready-made templates in AWS Marketplace and full support of clients' infrastructure in the cloud
Headquarters: San Francisco, USA
Core Cloud Platforms: AWS, Microsoft Azure (AWS Consulting Partner, Microsoft Partner)
Clients: JLL, Holiday Inn, AMG, RFI, and Bosch
Key Services: Cloud consulting and migration, CloudFormation deployment, DevOps and infrastructure-as-code management, Databricks integration and ML pipelines, IoT innovations, cost analysis (FinOps)
Lineate
Lineate is a leading partner for developing and implementing cloud solutions, helping AdTech and MarTech organizations scale their technology to manage vast data volumes. Their expertise in AdTech and MarTech along with their unique culture focused on knowledge breadth and creativity sets them apart in a competitive industry. Their approach includes both classic cloud migration and building hybrid or serverless solutions, with a focus on reliability, security and cost-optimized architecture for customers in relevant industries. All this makes Lineate a reliable partner that can transform data into business value in cloud projects of any complexity.
Headquarters: New York, USA
Core Cloud Platforms: AWS (Advanced Tier Services Partner), Azure, GCP
Clients: Ondeck, The Weekly Standard, Grubhub, Telenav
Key Services: Cloud Strategy and Migration, Cloud Data Engineering, Real-time Analytics, DevOps/CI-CD, Platform Engineering, AI/ML (Document Processing, Agentic AI, etc.)
Altera Data
Altera Data is a boutique data consultancy built on deep business expertise and full-stack data capabilities. They partner with growth-focused companies to design, build, and scale modern data platforms that drive better decisions, sharper insights, and smarter operations. They combine business strategy and hands-on technical execution, providing clients with the custom solutions. Their approach is focused on business outcomes: from reporting automation to inventory forecasting using machine learning.
Headquarters: Miami, USA
Core Cloud Platforms: AWS, Snowflake, dbt, Redshift, SageMaker
Clients: John Deere, Bello Media, Vitally Vegan, Seams Boutique
Key Services: Data Engineering, Modern data stack implementation (e.g., dbt, Apache, Snowflake, AWS), Cloud data lake/warehouse architecture and orchestration, ELT/ETL pipeline development and automation, Data Analytics.
Qubika
Qubika is an international technology company with over 20 years of experience in digital solutions. They specialize in building intelligent cloud infrastructures, particularly for financial institutions, technology companies, and startups. Their approach includes the use of advanced tools such as Snowflake, Databricks, dbt, Terraform, Airflow, and CI/CD pipelines, which allows them to efficiently process large amounts of data and implement AI/ML solutions. Qubika is an AWS Advanced Tier partner, and collaborates closely with providers including GCP, Azure, and Snowflake. Qubika is SOC 2 Type 2 and ISO 27001 certified.
Headquarters: Austin, Texas, USA
Core Cloud Platforms: AWS, GCP, Azure, Snowflake
Clients: Shopify, IDB, Ripple, nest
Key Services: Data Engineering, AI/ML, Software Development, Cloud Solutions, DevOps/SRE, UX/UI Design, Cybersecurity
IT Outposts
The IT Outposts team offers comprehensive solutions: from audit and migration planning to deployment automation, performance monitoring and ongoing support. They work with an infrastructure-as-code approach and help clients change from monolith architecture to microservices or serverless.
Headquarters: Limassol, Cyprus
Core Cloud Platforms: Google Cloud Partner, AWS, GCP, Azure
Clients: Geobuyer, DreamFlare, Odaptos, Vidby
Key Services: Cloud migration services, Cloud consultancy, Cloud architecture design, System administration, Microservices design and implementation, and DevOps
Adastra
With over 20 years of experience, Adastra Corporation has been working with enterprises to transform data into a manageable, secure and analytically accessible infrastructure. Adastra delivers solutions to enterprises to leverage data that they can control and trust.
Headquarters: Toronto, Canada; New York, USA
Core Cloud Platforms: AWS, Microsoft Azure (AWS Partner, Microsoft Solutions Partner)
Clients: Volkswagen, Toyota, MetLife, AstraZeneca
Key Services: Cloud data architecture, Cloud-based Data warehouse and big data, AI/ML solutions, Reporting automation, Microsoft Fabric implementation, Data management strategies and quality
Samsara
Samsara is developing its Connected Operations Cloud platform, combining IoT devices and the cloud to process huge amounts of real-world data—up to 2 trillion sensor and video points per year. Their data engineers use Spark and Databricks for data storage and analysis, AWS Kinesis and Step Functions for fast ingestion, and Delta Lake for orderly, scalable storage. Samsara systems integrate disparate data sources, from GPS and sensors to dashcam video, and provide users with a single dashboard interface with real-time performance, safety, and logistics metrics. Their approach allows customers in the transportation, construction, logistics, and industrial sectors to see operations in detail: they focus on driver safety, route optimization, and equipment efficiency—all through cloud-based ML solutions embedded in the platform itself.
Headquarters: San Francisco, California, USA
Core Cloud Platforms: AWS, using Spark/Databricks, Kinesis, Step Functions, Delta Lake
Clients: DHL, Kelly Group, Conway
Key Services: IoT device data collection, real-time ingestion, E2E data pipelines, video and sensor data processing, AI/ML analytics, central dashboard analytics
Zeta Global
Zeta Global helps enterprise brands and agencies transform marketing challenges into measurable success. With the power of advanced AI and real-time proprietary data, they empower CMOs and marketers to turn ambitious goals into remarkable results and business growth. Zeta Marketing Platform (ZMP) unifies Identity, Intelligence and omnichannel Activation in a single platform, empowering marketers to deliver personalized experiences at scale and create more efficiencies to increase value.
Headquarters: New York, USA
Core Cloud Platforms: AWS, Snowflake (Powered‑by‑Snowflake partner), Databricks, Spark, Hive, Airflow, Snowflake, FastAPI, Step Functions, Kinesis
Clients: Jaguar, TaxAct, U.S. News, BMW
Key Services: Scalable data engineering platform for processing large data streams (Identity Graph); ETL and real‑time ingestion, data lake / warehouse, data modeling, AI/ML solutions, building data-driven marketing systems
Radancy
Radancy is a leading cloud-based software provider simplifying talent acquisition for enterprises globally and delivering cost-efficient outcomes that strengthen their organizations. The Radancy Talent Acquisition Cloud, powered by rich data and deep industry insights, optimizes the entire candidate journey on a single AI-driven platform. This enables enterprises to hire the most qualified talent faster in any environment, while reducing costs and driving higher ROI, recruiter efficiency and an improved candidate experience.
Headquarters: New York, USA
Core Cloud Platforms: Radancy Talent Acquisition Cloud, using AWS for scaling, analytics, automated data ingestion and AI/ML approaches
Clients: DELL Technologies, Capital One, Sanofi, UPS, Sony Pictures
Key Services: end-to-end recruiting analytics platform, Programmatic AdTech, Candidate CRM, AI-driven targeting, operational KPI analytics, hiring process automation and staffing cost optimization
Instinctools
Instinctools is an AI-driven software engineering company with over 25 years of experience. They build digital products and guide global businesses through digital transformation. Instinctools develops custom cloud solutions for complex industries. They build data pipelines using Snowflake, BigQuery, Airflow, and Python, providing both operational analytics and large-scale ETL/ELT tasks.
Headquarters: Potomac, Maryland, USA
Core Cloud Platforms: Google Cloud, Microsoft Azure, AWS, and OVHcloud partners
Clients: CANet, Bonnet, Helvar, Spectec
Key Services: Cloud, DevOps, Custom Software Development, Mobile Application Development, Legacy Software Modernization, Cloud migration, Digital Transformation, Big Data Cloud Consulting
Cloudbeds
Cloudbeds is the leading platform redefining the concept of PMS for the hospitality industry, serving tens of thousands of properties in more than 150 countries worldwide. Cloudbeds Platform brings together built-in and integrated solutions that modernize hotel operations & finance, distribution & marketing, guest experience, and revenue & analytics.
Headquarters: San Diego, California, USA
Core Cloud Platforms: AWS using Spark/Databricks, Kinesis, Step Functions, Delta Lake
Clients: Yugo, Casetta, Sunlight
Key Services: Data integration with PMS, booking engine, channel managers; real-time ingestion; BI/analytics; AI solutions for pricing and personalization; BI application embedded in PMS
JumpCloud
JumpCloud offers a large-scale data platform for operational analytics. It is based on Snowflake, Kafka and Airflow, supports real-time ingestion, organizes data lakes and provides event cataloging, receiving analytics and insights from millions of data points. A special feature is their approach to security and compliance––System Insights and Directory Insights generate events that are accumulated and sent to SIEM via AWS serverless applications. This means that analysis and auditing work in real time, not after failures.
Headquarters: Louisville, CO, USA
Core Cloud Platforms: AWS partner, Snowflake, Kafka and Airflow
Clients: Grab, Monstarlab, MiQ
Key Services: Internal data platform for business operations and security analytics; Building data lakes and pipelines; Real-time ingestion with event catalog (System Insights / Cloud Insights); Log export to SIEM via serverless solution on AWS
Mirantis
Mirantis is an engineering hub with 25+ years of experience in open-source architecture, starting with OpenStack and evolving to Kubernetes- and AI-oriented platforms. They focus on automation and self-service: k0rdent and MKE 4 enable businesses to deploy AI and container environments in minutes, with built-in security, policies, and FinOps management.
Headquarters: Campbell, California, USA
Core Cloud Platforms: Kubernetes-oriented infrastructure stack—Mirantis Kubernetes Engine, Mirantis Container Cloud, Mirantis OpenStack for Kubernetes, works with AWS, Azure, on-prem/edge environments
Clients: Adobe, DocuSign, Inmarsat, PayPal, Reliance Jio, Societe Generale, Splunk, and S&P Global
Key Services: Multi-cloud container management and virtualization, platforms for hybrid/edge cloud, bridge-oriented CI/CD (DriveTrain), open solutions for AI/ML infrastructure (k0rdent), policy-as-code configuration, secure environment for GPU workloads
LambdaTest
LambdaTest is a GenAI-powered Quality Engineering Platform that offers a full-stack testing cloud with 10K+ real devices and 3,000+ browsers. With AI-native test management, MCP servers, and agent-based automation, LambdaTest supports Selenium, Appium, Playwright, and all major frameworks. AI Agents like HyperExecute and KaneAI bring the power of AI and cloud into your software testing workflow, enabling seamless automation testing with 120+ integrations.
Headquarters: San Francisco, USA
Core Cloud Platforms: LambdaTest has its own cloud testing environment built on AWS with scalable CI/CD integrations, real-time analytics and AI models (KaneAI, test analytics)
Clients: Vimeo, Rubrik, Telstra
Key Services: Automated real-time cloud testing, cross-browser for 3000+ combinations, visual regression, AI-aligned test intelligence (KaneAI), integrated analytics dashboard for quality control and test insights
Trigma
Trigma is a leading global technology solutions provider that specializes in leveraging emerging technologies to help businesses enhance operations and customer engagement. Our mission is to empower companies by eliminating the need for costly operations teams while enabling them to build high-performing, scalable solutions.
Headquarters: Las Vegas, Nevada, USA
Core Cloud Platforms: AWS, Azure
Clients: Shell, Samsung, British Council, Walmart
Key Services: Cloud Management, DevOps Implementation, Custom Web & Mobile App Development (Android, iOS, Flutter, React Native)
Successive Digital
Successive Digital is a digital transformation company. They help businesses transform operations with cloud: converting legacy to cloud-native, launching data lakes, implementing real-time analytics and AI/ML solutions. Their portfolio includes both generative analytics and DevOps with an emphasis on security, performance and compliance.
Headquarters: Dallas, Texas, USA
Core Cloud Platforms: AWS, Azure, Google Cloud Partner
Clients: NC State University, CMDC, IIFL
Key Services: Complete cloud transformation (migration, serverless/microservices, cost optimization), Data Modernization Services, Data Engineering, DataOps, BI, AI/ML
ScalaCode
ScalaCode is a global leader in digital transformation. They help clients with software product development, app design, mobile app development, blockchain solutions, AI products, and software consulting.
Headquarters: Noida, India
Core Cloud Platforms: AWS, Azure, Google Cloud Partner
Clients: Sony, Maximus, McCann
Key Services: scalable software development, cloud-native data solutions, data pipelines, AI/ML integration, CI/CD systems
Peeklogic
Peeklogic is a global Salesforce Development Company offering CRM solutions services. Their team delves into the Salesforce ecosystems: from mobile components to large-scale integration with ERP systems and analytical Cloud solutions. Their products, from CPQ to AI Orchestrator, work as part of the client's business process, not just a technical framework.
Headquarters: Austin, Texas, USA
Core Cloud Platforms: Specializing in Salesforce integration in the cloud environment
Clients: Names under NDA
Key Services: Salesforce Development, Business Development, Corporate Software Development, Salesforce Service Cloud, CRM, JIRA Integration, Salesforce Lightning, Salesforce Sales Cloud
Farnex
Farnex develops IT solutions and provides a full cycle of cloud consulting, development and cybersecurity, while being highly rated by clients for quality, deadlines and transparent communication. CRM, cybersecurity and mobile systems projects are often completed ahead of schedule, which indicates their effective internal organization.
Headquarters: Dhaka, Bangladesh
Core Cloud Platforms: AWS
Clients: projects in cybersecurity, CRM and mobile applications for startups, no names on the website
Key Services: Custom software development, data lake architecture, CRM/CRM platform deployment, cybersecurity, cloud consulting, data integration
Final Thoughts
The world of data engineering in the cloud is rapidly evolving, and choosing the right partner should be a strategic decision for scaling your business. The companies we reviewed offer a variety of approaches and deep expertise in AWS, Azure, and GCP, tailoring solutions to your needs.
If you’re looking for a team to help you turn your data into a valuable asset and build a reliable cloud platform, Dataforest is ready to be your guide in the world of modern data engineering. Contact us to learn how we can accelerate your growth.
FAQ
How do I choose between AWS, Azure, and GCP for my data infrastructure?
The choice depends on your business objectives, existing systems, and budget. AWS is a leader with a wide range of services, Azure integrates perfectly with the Microsoft ecosystem, and GCP has powerful analytics and AI.
How long does a typical enterprise cloud data project take from start to finish?
A typical project usually takes from 3 to 9 months, depending on the complexity.
What’s the difference between ETL and ELT, and which approach is better for cloud data?
ETL involves processing data before loading it into storage, while ELT, on the contrary, first loads the data and then transforms it in the cloud. For scalable cloud platforms, ELT is often considered more effective due to its flexibility and speed.
How do cloud data engineering services support real-time analytics and AI initiatives?
They ensure the continuous collection, processing and delivery of streaming data, integrate AI models directly into pipelines, providing instant insights and automated solutions.
How is data security managed in cloud-native architectures?
Through multi-layered methods: encryption, access control, auditing, network segmentation and automation of security policies.
What are managed data services, and how do they differ from project-based consulting?
Managed services are long-term management and support of the client’s data infrastructure, including monitoring and optimization. Project consulting is one-time assistance or development of a specific solution.
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