Top Azure Data Engineering Companies 2026

Q: Synapse vs. Databricks on Azure: Which should I choose?

Databricks on Azure is often preferred for heavy Spark engineering and ML workloads due to its superior developer experience. Synapse is excellent for SQL-heavy teams and seamless integration with the wider Microsoft/Office ecosystem.

Q: How much do Azure specialized consultants cost?

Azure data engineering rates typically range from $110 to $220 per hour. Experts in the new Microsoft Fabric platform are in high demand and may command premium rates.

Accelerate your analytics with the Microsoft Cloud. We've ranked top firms for Fabric migration, Synapse Analytics, and Power BI at scale.

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Microsoft Fabric

Unify your data estate. Experts help you migrate to Fabric's "OneLake" architecture, eliminating data copies and simplifying governance.

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Synapse & SQL

Optimize dedicated SQL pools for massive concurrency. Modernize legacy SSIS packages to Azure Data Factory (ADF).

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Power BI at Scale

Backend engineering for frontend performance. Build robust semantic models that ensure Power BI reports load instantly for thousands of users.

Top Azure Consulting Partners

Showing top 70 firms

Rank	Company	Score	Rate	Best For
#1	Tiger Analytics 3000 employees	8.6/10	$100-200	Retail and CPG companies; enterprises needing advanced analytics and ML
#2	Analytics8 100 employees	8.3/10	$100-200	Mid-market companies needing end-to-end data solutions; data modernization projects
#3	Lovelytics 50 employees	8.3/10	$150-225	Companies seeking Snowflake-to-Databricks migration; cloud data platform specialists
#4	Slalom 13000 employees	8.3/10	$150-250	Large enterprises needing digital transformation; AWS Global GenAI Partner of Year
#5	Tredence 3000 employees	8.3/10	$100-200	Retail and CPG enterprises; companies needing GenAI accelerators
#6	Accenture 779000 employees	8.2/10	$120-200	Global enterprises needing large-scale transformation; Fortune 500 companies
#7	Sigmoid 1000 employees	8.2/10	$50-150	Companies seeking value-for-money ML expertise; mid-market data engineering
#8	Infosys 300000 employees	8.1/10	$50-100	Global enterprises; offshore development model; large-scale implementations
#9	Deloitte 450000 employees	8/10	$75-175	C-suite advisory with technical execution; regulated industries
#10	InterWorks 500 employees	8/10	$150-275	BI and analytics deployments; Tableau and Snowflake specialists
#11	STX Next 500 employees	8/10	$75-150	European nearshore; fintech, manufacturing, logistics; 200+ data projects; AWS & Snowflake certified
#12	Wipro 200000 employees	8/10	$50-100	Large-scale global enterprises; offshore delivery model
#13	Capgemini 300000 employees	7.9/10	$75-150	Global enterprises needing Industry 4.0 solutions; engineering R&D services
#14	Cognizant 340000 employees	7.9/10	$75-150	Fortune 2000 companies; GenAI and autonomous AI solutions
#15	Devoteam 11000 employees	7.9/10	$100-175	European enterprises; cloud and cybersecurity specialists
#16	Itransition 3000 employees	7.9/10	$50-100	Mid-market companies; full-cycle software development with data engineering
#17	Adastra 100 employees	7.8/10	$125-200	Financial services and enterprise data platform implementations
#18	DataArt 3000 employees	7.8/10	$50-100	Custom software development with data engineering; European nearshore
#19	Intellias 3000 employees	7.8/10	$50-100	Automotive, fintech, and large-scale engineering projects
#20	iTechArt 3500 employees	7.8/10	$50-100	VC-backed startups and rapidly scaling tech firms
#21	Avenga 2500 employees	7.7/10	$50-99	Regulated industries; nearshore teams; life sciences and finance
#22	Celebal Technologies 1000 employees	7.7/10	$50-100	Microsoft Azure specialists; PowerBI and AI solutions
#23	Fractal Analytics 5000 employees	7.7/10	$100-200	Enterprise AI and decision intelligence; Fortune 500 companies
#24	Solita 2100 employees	7.7/10	$125-200	Nordic companies; Snowflake Elite Partner; data-driven transformation
#25	BlueCloud 100 employees	7.6/10	$125-200	Mid-market cloud data platform implementations
#26	InData Labs 100 employees	7.6/10	$70-150	AI/ML and data science projects; predictive analytics
#27	Indium Software 3000 employees	7.6/10	$50-100	Product engineering with data modernization; Digital assurance
#28	Mantel Group 900 employees	7.6/10	$150-250	Australia/NZ enterprises; Elite Databricks Partner; regulated industries
#29	N-iX 2400 employees	7.6/10	$50-100	European nearshore development; Fortune 500 clients
#30	Atrium 100 employees	7.5/10	$150-250	Snowflake and Salesforce integration; AI-native consulting
#31	CHI Software 500 employees	7.5/10	$50-100	AI-driven software development; GenAI integration; healthcare tech
#32	DATAPAO 50 employees	7.5/10	$100-175	Databricks Premier Partner; European data engineering and MLOps
#33	DS Stream 150 employees	7.5/10	$50-99	AI and data analytics for global brands; GenAI solutions
#34	Innowise 2500 employees	7.5/10	$50-100	Full-cycle software development with data engineering; Eastern Europe
#35	ProCogia 100 employees	7.5/10	$125-200	Data consultancy and bioinformatics; enterprise data mesh
#36	Saviant Consulting 500 employees	7.5/10	$75-150	Microsoft Azure specialists; Industrial IoT and smart machines
#37	Aimpoint Digital 200 employees	7.4/10	$175-275	Market-leading analytics and data engineering; Snowflake Elite Partner
#38	Beyond Key 500 employees	7.4/10	$100-150	Microsoft technologies and PowerBI consulting; .NET development
#39	Dateonic 50 employees	7.4/10	$100-175	Databricks consultancy specialists; Big Data and AI solutions
#40	XenonStack 500 employees	7.4/10	$50-100	Agentic AI systems; real-time analytics; platform engineering
#41	Algoscale 200 employees	7.3/10	$75-125	Data engineering and analytics; distributed data processing
#42	BIZTORY 100 employees	7.3/10	$75-150	Asian markets; Microsoft Azure and PowerBI specialists
#43	Damco Solutions 500 employees	7.3/10	$50-100	Enterprise data modernization; Big Data solutions
#44	Improving 500 employees	7.3/10	$125-200	Software consultancy with data engineering; Agile delivery
#45	Perficient 5000 employees	7.3/10	$125-200	Digital transformation; enterprise data and analytics
#46	Helical IT Solutions 100 employees	7.2/10	$50-100	Open-source BI and data engineering; cost-effective solutions
#47	Pingahla 100 employees	7.2/10	$50-100	Data engineering and analytics for startups and mid-market
#48	Tata Consultancy Services (TCS) 600000 employees	8.5/10	$50-100	Global enterprises; offshore delivery; large-scale transformations
#49	Entrans 100 employees	7.2/10	$75-150	End-to-end data engineering; data lakehouse implementations
#50	Simform 500 employees	7.5/10	$50-100	Product engineering with data capabilities; cloud-native development
#51	ScienceSoft 700 employees	7.6/10	$50-100	Healthcare and financial services; compliance-focused data solutions
#52	Hashmap 200 employees	8.5/10	$150-250	Enterprises needing cloud migrations and IoT data solutions
#53	Kanerika Inc 200 employees	7.4/10	$75-150	Intelligent automation and data analytics; Microsoft Azure specialists
#54	Dataroots 50 employees	8/10	$100-175	AI-driven data engineering and MLOps implementation
#55	Thoughtworks 10000 employees	8.5/10	$150-250	Digital transformation and modern software practices; data mesh
#56	Element Data 40 employees	7.8/10	$150-225	Microsoft stack optimization and Power BI enterprise rollouts
#57	Hakkoda 150 employees	8.5/10	$140-220	Scalable Snowflake data engineering teams
#58	Datalytyx 60 employees	7.9/10	$125-200	Data governance and managed data services
#59	McKinsey & Company 2000+ employees	8.1/10	$250+	Large-scale digital transformation and strategy-led AI initiatives
#60	Bain & Company 1500+ employees	8/10	$250+	Private equity due diligence and advanced analytics strategy
#61	BCG X 2500+ employees	8/10	$250+	Building new digital ventures and large-scale AI transformation
#62	EY 5000+ employees	7.8/10	$175+	Global compliance, audit-ready data platforms, and finance transformation
#63	KPMG 4000+ employees	7.7/10	$175+	Risk management, regulatory reporting, and finance back-office data
#64	PwC 6000+ employees	7.9/10	$175+	Busines-led transformation and finance function modernization
#65	HCLTech 10000+ employees	7.6/10	$50-125	Large-scale legacy migrations and managed services outsourcing
#66	Tech Mahindra 8000+ employees	7.5/10	$45-120	Telecom and manufacturing data solutions
#67	LTIMindtree 5000+ employees	8/10	$55-130	Snowflake migrations for large enterprises
#68	Mphasis 4000+ employees	7.7/10	$50-125	Banking and capital markets data modernization
#69	Airbyte Services 100 employees	8.4/10	$150-220	Custom connector development and large-scale data replication
#70	Confluent 2500+ employees	8.9/10	$200+	Enterprise-scale event streaming and data in motion

Key Azure Data Engineering Services

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Microsoft Fabric Implementation

The future of Microsoft analytics. Fabric unifies data lakes, warehouses, and Power BI into a single SaaS platform. Experts design OneLake architecture, eliminating the need for data movement between services.

OneLake migration strategy
Fabric Dataflows Gen2
Direct Lake mode for Power BI

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Synapse Analytics Optimization

Modernize SQL pools and integrate Spark for hybrid analytics. Experts migrate from on-premise SQL Server to dedicated SQL pools, optimizing for massive concurrency and cost.

Dedicated SQL pool tuning
Serverless SQL for on-demand queries
Synapse Spark pool configuration

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Azure Data Factory Pipelines

Build cloud-scale ETL/ELT workflows. Partners migrate legacy SSIS packages to ADF, implement incremental loading patterns, and set up CI/CD pipelines for data workflows.

SSIS to ADF migration
Mapping Data Flows (visual ETL)
Integration Runtime optimization

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Power BI Enterprise Architecture

Backend data engineering for frontend success. Implement Premium Per User (PPU) scaling, Composite Models, and Incremental Refresh to ensure millisecond-level report performance.

Semantic model optimization
Aggregations and user-defined tables
Power BI Embedded integration

How to Choose an Azure Data Engineering Partner

Verify Microsoft Partner Competency

Look for Gold or Solutions Partner status in the Data & AI category. These partners have demonstrated technical capability and customer success.

Assess Fabric Readiness

Microsoft Fabric is the future. Ensure your partner has hands-on Fabric experience and isn't just selling legacy Synapse-only solutions. Ask for OneLake migration case studies.

Check Power BI Depth

Azure data work often feeds Power BI. A strong partner should have certified Power BI architects who understand DAX optimization and semantic model design, not just data engineers.

Review Multi-Cloud Experience

Many enterprises run hybrid Azure + AWS or GCP environments. Partners with multi-cloud experience can help you integrate Azure Synapse with external data sources seamlessly.

Rating Methodology

Data Sources: Gartner, Forrester, Everest Group reports; Clutch & G2 reviews (10+ verified reviews required); Official partner directories (Databricks, Snowflake, AWS, Azure, GCP); Company disclosures; Independent market rate surveys

Last Verified: January 21, 2026 | Next Update: April 2026

Technical Expertise

20%

Platform partnerships, certifications, modern tools (Databricks, Snowflake, dbt, streaming)

Delivery Quality

20%

On-time track record, proven methodologies, client testimonials, case results

Industry Experience

15%

Years in business, completed projects, client diversity, sector expertise

Cost-Effectiveness

15%

Value for money, transparent pricing, competitive rates vs capabilities

Scalability

10%

Team size, global reach, project capacity, resource ramp-up speed

Market Focus

10%

Ability to serve startups, SMEs, and enterprise clients effectively

Innovation

Cutting-edge tech adoption, AI/ML capabilities, GenAI integration

Support Quality

Responsiveness, communication clarity, post-implementation support

Frequently Asked Questions

What is Microsoft Fabric?

Microsoft Fabric is an all-in-one analytics solution that unifies data engineering, data science, and BI. It simplifies the stack by combining Synapse, Data Factory, and Power BI into a single SaaS experience with OneLake as the unified storage layer.

Synapse vs. Databricks on Azure: Which should I choose?

Databricks on Azure is often preferred for heavy Spark engineering and ML workloads due to its superior developer experience. Synapse is excellent for SQL-heavy teams and seamless integration with the wider Microsoft/Office ecosystem (Power BI, Excel).

How much do Azure specialized consultants cost?

Azure data engineering rates typically range from $110 to $220 per hour. Experts in the new Microsoft Fabric platform are in high demand and may command premium rates due to limited availability.

Can Azure integrate with my existing AWS infrastructure?

Yes. Azure Synapse can connect to external data sources via PolyBase, and services like Azure Arc enable hybrid/multi-cloud governance. Many organizations run Azure Synapse as their unified warehouse while keeping compute workloads in AWS.

What's the difference between dedicated SQL pools and serverless SQL?

Dedicated SQL pools provide reserved compute for predictable, high-concurrency workloads (always-on billing). Serverless SQL charges per TB scanned and is ideal for ad-hoc exploration and data lake queries (pay-per-query).

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