Azure Data Factory users list

Email list of companies using Azure Data Factory

Q: How many companies use Azure Data Factory?

Data InfoMetrix tracks 44,796 companies using Azure Data Factory, with 328,472 verified contacts at those accounts as of October 2026. The largest groups are Manufacturing, Financial Services and Healthcare. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Q: Who buys and manages Azure Data Factory inside a company?

Azure Data Factory is usually owned by Data Integration on Microsoft Azure. Decision-makers include Chief Data Officer, VP of Data and CTO; Azure Data Architect and Data Platform Lead shape the choice, and Data Engineers and BI Developers use it day to day. Our Azure Data Factory list can include any of these roles.

Q: Which Azure Data Factory products or editions can I target?

You can target accounts by the Azure Data Factory products they run, including Azure Data Factory, Fabric Data Factory, ADF Mapping Data Flows, Self-Hosted Integration Runtime and SSIS in Azure. Tell us which edition or module matters and we filter the list to those accounts.

Q: What other software do Azure Data Factory customers use?

Azure Data Factory customers commonly also run Microsoft Fabric, Power BI, SQL Server, Databricks and Dynamics 365. Azure Data Factory is often connected to Azure Synapse, so users of those tools overlap heavily. We can filter any list by this kind of stack overlap.

Q: What are the main alternatives to Azure Data Factory?

The main alternatives to Azure Data Factory are Fivetran, Informatica and Databricks Workflows. We also keep verified user lists for Fivetran and Databricks Workflows, which is useful for competitive displacement campaigns.

Q: When are Azure Data Factory customers most likely to buy?

Buying triggers we track for Azure Data Factory accounts include fabric adoption, SSIS retirement, data platform modernisation and azure commit renewal. A common pain point is migration to Microsoft Fabric: teams decide when to move pipelines.

Q: Can Data InfoMetrix deliver a free sample Azure Data Factory contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Azure Data Factory criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

Q: How does Data InfoMetrix guarantee email deliverability for Azure Data Factory contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Azure Data Factory datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Reach data engineering and Azure platform leaders using Azure Data Factory and Fabric Data Factory for data pipelines.

44,796+Companies

328,472+Contacts

Updated Oct 7, 2026GDPR · CCPA99% accuracy

See sample data

Free Azure Data Factory count + 10 sample records

44,796+ companies · 328,472+ contacts available

✓Exact count for your titles, regions and company size
✓10 verified sample records to check quality
✓Price quote within 1 business day

Trusted by B2B and enterprise revenue teams

How many companies use Azure Data Factory?

Data InfoMetrix tracks 44,796+ companies running Azure Data Factory as of October 2026, with 328,472+ verified contacts at those accounts. The largest groups are Manufacturing, Financial Services and Healthcare. Buying decisions usually sit with the Chief Data Officer, VP of Data and CTO. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts44,796+

Organizations detected running Azure Data Factory.

Verified contacts328,472+

Direct emails and phone dials for decision-makers.

Primary personasHead of Data Engineering, Azure Data Architect, Data Platform Lead

Full buying committee mapped.

Deliverability SLA99%

SMTP-verified, with 1:1 replacement of any email that hard bounces within 30 days.

Data specification · Updated Q4 2026

Technology category	DevOps & Cloud Infrastructure
Tracked organizations	44,796+ verified accounts worldwide
Decision-maker contacts	328,472+ records with emails, mobile and direct dials
Key roles	Head of Data Engineering, Azure Data Architect, Data Platform Lead, platform administrators, IT directors, procurement
Geography	180+ countries · country-by-country counts on request
Verification	DNS and script telemetry, 5-stage SMTP handshake, manual research
Refresh cadence	Continuous, 30–45 day maximum record age at delivery
Compliance	GDPR, CAN-SPAM, CCPA and CASL
Delivery	24–48 hours as CSV, XLSX or CRM API

Editorial & verification

Researched by the Data InfoMetrix research team. Counts updated October 2026.

How we count and verify data

Size your Azure Data Factory audience

Pick a region, company size and buying role to estimate how many accounts and contacts you can reach.

Region

Company size

Buying role

Estimated segment✓ 99% SLA

44,796+Target accounts

328,472+Direct contacts

Decision-makers35%

Influencers45%

End users20%

Estimates from our current Azure Data Factory dataset. Exact counts come with your quote.

Reach the whole buying committee

A Azure Data Factory account is not one contact. We map the people who evaluate, buy, run and use it across Data Integration on Microsoft Azure.

Decision-makersC-suite & sponsors

Chief Data OfficerVP of DataCTOHead of Data Engineering

Influencers & adminsEvaluate & configure

Azure Data ArchitectData Platform LeadBI ManagerIntegration Architect

End usersRun it every day

Data EngineersBI DevelopersETL DevelopersData Analysts

These are examples. We build records for any department, seniority or custom title.

See exactly what you get

Every record carries 60+ fields, from verified email, direct dial and LinkedIn to full postal address, Azure Data Factory edition, coexisting stack and intent.

Contact	Buying role	Work email	Direct dial	Company phone	Fax	LinkedIn profile	Company	LinkedIn company page	Industry	Address 1	Address 2	City	State	ZIP code	Country	Azure Data Factory footprint	Intent	Status
SRSophia ReyesVP of Platform Engineering	Decision Maker	s.r***@apexc**.io	+1 (415) 55*-**	+1 (415) 55*-**	+1 (415) 55*-**	linkedin.com/in/s*ia-r*******	Apex Cloud Systems Inc.	linkedin.com/company/apex-cloud-sys	Enterprise Software & Cloud SaaS	100 Montgomery St	Ste 1800	San Francisco	CA	94104	United States	Microsoft Azure Enterprise Agreement (EA) + Azure Arc Multi-Cloud	High	✓ Verified 2026
MWMarcus WebbLead Site Reliability Engineer (SRE)	Influencer	m.we**@kensington*******.uk	+44 (20) 79*-**	+44 (20) 79*-**	+44 (20) 79*-**	linkedin.com/in/m*us-we******	Kensington Global Capital Ltd	linkedin.com/company/kensington-cap	Financial Services & Modern FinTech	25 Bank St Canary Wharf	—	London	Greater London	E14 5JP	United Kingdom	Azure Kubernetes Service (AKS) Enterprise + Azure Cosmos DB	High	✓ Verified 2026
LFLena FischerPrincipal Cloud Infrastructure Architect	Influencer	l.fi**@stack**.de	+49 (30) 55*-**	+49 (30) 55*-**	+49 (30) 55*-**	linkedin.com/in/l*a-fi******	StackLabs Infrastructure GmbH	linkedin.com/company/stacklabs-de	Cloud Hosting & Distributed Systems	Friedrichstraße 176-179	—	Berlin	Berlin	10117	Germany	Azure Virtual Machines Scale Sets (VMSS) + Azure Front Door	High	✓ Verified 2026
JOJames O'ConnorDirector of Cloud Operations & DevOps	Decision Maker	j.oc**@veloce****.com	+1 (312) 55*-**	+1 (312) 55*-**	+1 (312) 55*-**	linkedin.com/in/j*s-oc******	Veloce Global Logistics Corp	linkedin.com/company/veloce-logistics	Enterprise Supply Chain & Telematics IoT	233 S Wacker Dr	Ste 4200	Chicago	IL	60606	United States	Azure Functions Serverless + Azure Event Grid + Service Bus	High	✓ Verified 2026
ALAstrid LindholmHead of Developer Experience & Tooling	Influencer	a.li**@nordi**.se	+46 (8) 55*-**	+46 (8) 55*-**	+46 (8) 55*-**	linkedin.com/in/a*id-li******	Nordic Digital Commerce AB	linkedin.com/company/nordicpay-ab	E-Commerce & High-Volume Retail Platforms	Hamngatan 15	—	Stockholm	Stockholm County	111 47	Sweden	Azure DevOps Pipelines + Azure Container Apps	Medium	✓ Verified 2026
DVDavid VanceChief Technology Officer (CTO)	Decision Maker	d.va**@beacond****.com	+1 (703) 55*-**	+1 (703) 55*-**	+1 (703) 55*-**	linkedin.com/in/d*d-va******	Beacon Mission Systems Inc.	linkedin.com/company/beacon-tech	Defense, Aerospace & Industrial Automation	1850 Towers Crescent Plaza	—	Tysons	VA	22182	United States	Azure Government Cloud Secret & FedRAMP High Enclave	High	✓ Verified 2026
RGRachel Green-CohenDirector of Cloud Infrastructure & DevSecOps	Influencer	r.co**@veritas****.org	+1 (617) 55*-**	+1 (617) 55*-**	+1 (617) 55*-**	linkedin.com/in/r*el-co******	Veritas Health Technologies Inc.	linkedin.com/company/veritas-health-sys	Digital Health & Clinical Cloud Systems	75 Francis St	—	Boston	MA	02115	United States	Azure Health Data Services + FHIR API Gateway	Medium	✓ Verified 2026
YTYuri TanakaSenior SRE & Cloud Systems Engineer	Practitioner	y.ta**@biosynth*****.jp	+81 (3) 55*-**	+81 (3) 55*-**	+81 (3) 55*-**	linkedin.com/in/yi-ta******	BioSynthetix Genomic Systems KK	linkedin.com/company/biosynthetix-kk	Life Sciences & High-Performance Cloud Computing	Roppongi Hills Mori Tower	30F	Tokyo	Tokyo	106-6108	Japan	Azure HPC CycleCloud + InfiniBand Supercomputing Cluster	Medium	✓ Verified 2026

Illustrative rows showing 20 of 60+ fields. Full records are unmasked.

We deliver 60+ data fields per record, including intent data. The sample shows a selection only. Tell us which fields you need, including any that aren't listed here, and we'll add them to your list.

Also available:Seniority & departmentJob functionTenure in roleEmployee countAnnual revenueSIC & NAICS codesParent companyWebsite & domainProduct editionContract & renewal timingIntent topics & scoreEmail verification date

How we prove an account runs Azure Data Factory

No scraped résumés or stale directories. Three layers confirm a live installation before a contact reaches your list. Read our verification protocol

Pillar 1 · Telemetry

Live DNS & script signals

We inspect response headers, DNS MX and CNAME records and live JavaScript bundles to confirm a running Azure Data Factory instance.

DNS · CNAME · MX recordsHTTP headers · JS bundles✓ Verified against live infrastructure

Pillar 2 · Operational intent

90-day hiring signals

We track job requisitions that ask for Azure Data Factory skills, which shows ongoing budget and headcount.

Now hiringAzure Data Factory Administrator

Now hiringAzure Data Factory Architect

Now hiringAzure Data Factory Engineer

Pillar 3 · Human & mailbox QA

Pre-delivery SMTP handshake

Each email is tested against the destination mail server, and titles are checked against current company rosters.

SMTP check ✓LinkedIn match ✓Title verified ✓

✓ Deliverable inbox and current role

Deliverability SLA

<3%

Maximum bounce rate, or we replace the contacts. Your sender reputation stays clean.

1:1 hard bounce replacement

Every email that hard-bounces within 30 days of delivery is replaced free, record for record.

24-hour pre-delivery ping

Live SMTP and MX checks right before we send your file.

Instant CRM import

Clean CSV or XLSX, ready for one-click import.

Ready for your outbound stack

Imports straight into the tools you use.

What are you trying to do?

Each campaign needs a different data strategy. Pick your goal to see how we build the audience.

Find companies on rival platforms and reach the people evaluating a move to, or away from, Azure Data Factory.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running Azure Data Factory.

Ecosystem playbook

Build account lists around Azure Data Factory deployment scale and engage the full committee across departments.

ABM playbook

Conquesting audienceSample

Fivetran

Informatica

Databricks Workflows

→

Azure Data Factory

Know the stack around every account

Azure Data Factory rarely runs alone. Every record is tagged with the tools detected alongside it, so you can segment by complementary stacks.

Microsoft Fabric

Power BI

SQL Server

Databricks

Dynamics 365

Open the coexistence matrix

What Azure Data Factory customers look like

Anonymised profiles of companies in our Azure Data Factory dataset of 44,796+ accounts. Named accounts are shared in your free sample, never on a public page.

Azure Data Factory account profiles · anonymised

Company size	Industry	Country	Employees	Revenue
Mid-market	Manufacturing	United States	200–999	$50M–$250M
Enterprise	Financial Services	United States	5,000+	$1B+
Upper mid-market	Healthcare	United Kingdom	1,000–4,999	$250M–$1B
SMB	Public Sector	United States	50–199	$10M–$50M
Enterprise	Manufacturing	Canada	10,000+	$5B+
Mid-market	Financial Services	Germany	500–999	$100M–$250M
Mid-market	Healthcare	United States	200–999	$50M–$250M
Enterprise	Public Sector	Australia	5,000+	$1B+

Markets we cover

United States

India

United Kingdom

Canada

Germany

Australia

Singapore

France

New Zealand

Netherlands

Plus 170 more countries. Ask for a country-by-country count of Azure Data Factory accounts and we'll include it with your free sample.

Build the list your way

Every list is assembled from source to your product tier, job function, geography and revenue band. Nothing is a fixed export.

Editions & modules

Filter by what they actually run.

+Azure Data Factory+Fabric Data Factory+ADF Mapping Data Flows+Self-Hosted Integration Runtime+SSIS in Azure

Firmographics

Match revenue, size and industry.

+Industry+$1M–$10B+ revenue+Headcount+Ownership & funding+HQ & branches

Geography

Target any territory.

+US & Canada+US states+UK, DACH, Nordics+APAC & ANZ+Metro clusters

Need multi-attribute segments? Open the Audience Builder

What Azure Data Factory teams are struggling with

Know the friction before you reach out, and position your product where it matters.

Friction 1

Migration to Microsoft Fabric

ImpactTeams decide when to move pipelines.

OpportunityOffer Fabric migration services.

Friction 2

SSIS modernisation

ImpactLegacy SSIS packages need replacing.

OpportunityPitch modernisation services.

Friction 3

Pipeline monitoring

ImpactFailures go unnoticed.

OpportunityOffer observability services.

Intent triggers we track

✓Fabric adoption

✓SSIS retirement

✓Data platform modernisation

✓Azure commit renewal

“The accuracy of their technographic data was outstanding. Every AWS contact we reached out to was actively running live production clusters.”

VP of Field Engineering, a cloud infrastructure companyName withheld at the client's request

Read the $2.2M ARR case study

Azure Data Factory list questions, answered

How many companies use Azure Data Factory?

Data InfoMetrix tracks 44,796 companies using Azure Data Factory, with 328,472 verified contacts at those accounts as of October 2026. The largest groups are Manufacturing, Financial Services and Healthcare. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages Azure Data Factory inside a company?

Azure Data Factory is usually owned by Data Integration on Microsoft Azure. Decision-makers include Chief Data Officer, VP of Data and CTO; Azure Data Architect and Data Platform Lead shape the choice, and Data Engineers and BI Developers use it day to day. Our Azure Data Factory list can include any of these roles.

Which Azure Data Factory products or editions can I target?

You can target accounts by the Azure Data Factory products they run, including Azure Data Factory, Fabric Data Factory, ADF Mapping Data Flows, Self-Hosted Integration Runtime and SSIS in Azure. Tell us which edition or module matters and we filter the list to those accounts.

What other software do Azure Data Factory customers use?

Azure Data Factory customers commonly also run Microsoft Fabric, Power BI, SQL Server, Databricks and Dynamics 365. Azure Data Factory is often connected to Azure Synapse, so users of those tools overlap heavily. We can filter any list by this kind of stack overlap.

What are the main alternatives to Azure Data Factory?

The main alternatives to Azure Data Factory are Fivetran, Informatica and Databricks Workflows. We also keep verified user lists for Fivetran and Databricks Workflows, which is useful for competitive displacement campaigns.

When are Azure Data Factory customers most likely to buy?

Buying triggers we track for Azure Data Factory accounts include fabric adoption, SSIS retirement, data platform modernisation and azure commit renewal. A common pain point is migration to Microsoft Fabric: teams decide when to move pipelines.

Can Data InfoMetrix deliver a free sample Azure Data Factory contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Azure Data Factory criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

How does Data InfoMetrix guarantee email deliverability for Azure Data Factory contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Azure Data Factory datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Sourcing and compliance. Business contacts come from public company sources, professional directories and opt-in publishing partners, then go through SMTP verification and human review. Lists are for B2B outreach: include an unsubscribe link and honour opt-outs (CAN-SPAM), and have a lawful basis such as legitimate interest when you email people in the EU or UK (GDPR). Read how we source and verify data