01BUYER CONTEXT
Data warehouse and ETL buyers are not general IT contacts. They own the data setup, BI speed, pipelines that do not break, data quality, rules and reports.
DATA WAREHOUSE AND ETL SOFTWARE DATA
AI & ANALYTICS · TECHNOLOGY USERS EMAIL LIST
Data Warehouse / ETL Users Email List: Verified Contacts for Snowflake, Google BigQuery & Amazon Redshift
Verified data warehouse technology contacts for companies using Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend, ETL pipelines, ELT tools and analytics engineering workflows.
100 verified data warehouse technology contacts. Delivered inside two business hours.
- 512k+Verified Contacts
- 95%Accuracy Rate
- 60+Countries
- 45 daysRefresh Cycle
Build the segment first, then give us the email
Build your free technology sample. Add a filter or two.
YOUR SEGMENTtechnology contacts
COMPANYLOCATIONSTACK
··Name held backIn your sampleIn your sample
··Name held backIn your sampleIn your sample
··Name held backIn your sampleIn your sample
THERE IS NO PUBLIC TECHNOLOGY SAMPLE · NAMES, CONTACTS AND YOUR FILTERED COUNT COME WITH THE FREE SAMPLE
WHAT IT IS
What information is included in the dataset?
Each record is set up for sales, marketing, CRM and ABM work. It also suits data engineering outreach and market research.
WHY DATA WAREHOUSE AND ETL PLATFORM DATA MATTERS
02SNOWFLAKE
A Snowflake user often runs a cloud warehouse for analytics, data sharing and a modern data stack.
03FIVETRAN
A Fivetran user moves data from SaaS apps and databases into a cloud warehouse without hand coding.
04CLOUD DATA
Redshift and BigQuery users run analytics on AWS or Google Cloud. They care about BI reports and fast queries at scale.
05DBT & TALEND
A dbt user invests in analytics engineering, data models and agreed metrics. A Talend user runs ETL, data links, data quality and large data pipelines.
06BETTER OUTREACH
Know the tool, and your message can fit the buyer. You can speak to their data stack, pipeline issues, BI goals, warehouse costs, data rules and AI plans.
Request a free sampleNO CARD · NO OBLIGATION · 45-DAY FRESHNESS CYCLE
WHAT YOU GET
What information is included in the dataset?
3GROUPS
/33ITEMS
CUT BY FIELDS ON EVERY RECORD
Fields on every record
- Contact Name
- Job Title and Seniority
- Verified Business Email
- Phone
- Company Name and Website Domain
- LinkedIn Profile URL
- Industry and Business Sector
- Revenue and Employee Size
- City, State, Country and Region
- Platform Used and Data Category
CUT BY PLATFORMS COVERED
Platforms covered
- Snowflake
- Google BigQuery
- Amazon Redshift
- Microsoft Azure Synapse Analytics / Microsoft Fabric
- Databricks Lakehouse / SQL Warehouse
- Oracle Autonomous Data Warehouse
- IBM Db2 Warehouse
- SAP Datasphere
- Teradata Vantage
- ClickHouse Cloud
- Firebolt
- Dremio
- Vertica OpenText
- Cloudera Data Platform
- Alibaba Cloud AnalyticDB
CUT BY BUILT FOR DATA, CLOUD AND ANALYTICS GROWTH TEAMS
Built for data, cloud and analytics growth teams
- Data engineering firms
- Cloud data consultants
- Data integration and ETL vendors
- BI and analytics platforms
- Data governance and observability providers
- AI and machine learning vendors
- ABM and demand generation teams
- Market research and territory planning teams
Fields on every record10
- Contact Name
- Job Title and Seniority
- Verified Business Email
- Phone
- Company Name and Website Domain
- LinkedIn Profile URL
- Industry and Business Sector
- Revenue and Employee Size
- City, State, Country and Region
- Platform Used and Data Category
Platforms covered15
- Snowflake
- Google BigQuery
- Amazon Redshift
- Microsoft Azure Synapse Analytics / Microsoft Fabric
- Databricks Lakehouse / SQL Warehouse
- Oracle Autonomous Data Warehouse
- IBM Db2 Warehouse
- SAP Datasphere
- Teradata Vantage
- ClickHouse Cloud
- Firebolt
- Dremio
- Vertica OpenText
- Cloudera Data Platform
- Alibaba Cloud AnalyticDB
Built for data, cloud and analytics growth teams8
- Data engineering firms
- Cloud data consultants
- Data integration and ETL vendors
- BI and analytics platforms
- Data governance and observability providers
- AI and machine learning vendors
- ABM and demand generation teams
- Market research and territory planning teams
FIG. 1 The ways a technology user record can be segmented, as described on this page. Name the cut you need and a data specialist builds it into your free sample.
DATA WAREHOUSE / ETL DATA COVERED
15+ warehouse platforms. One database.
Filter by data warehouse, ETL platform, lakehouse system, region or company size and pull a clean list in minutes.
| Platform | List | Contacts | Companies | Coverage |
|---|---|---|---|---|
| Snowflake | Snowflake Users Email List | 120k | 24k | Global |
| Google BigQuery | Google BigQuery Users Email List | 110k | 22k | Global |
| Amazon Redshift | Amazon Redshift Users Email List | 113k | 22.6k | Global |
| Microsoft Azure Synapse Analytics / Microsoft Fabric | Microsoft Azure Synapse Analytics / Microsoft Fabric Users Email List | 17.5k | 3.5k | Global |
| Databricks Lakehouse / SQL Warehouse | Databricks Lakehouse / SQL Warehouse Users Email List | 97.4k | 19.5k | Global |
| Oracle Autonomous Data Warehouse | Oracle Autonomous Data Warehouse Users Email List | 12.5k | 2.5k | Global |
| IBM Db2 Warehouse | IBM Db2 Warehouse Users Email List | 600 | 120 | Global |
| SAP Datasphere | SAP Datasphere Users Email List | 3.3k | 655 | Global |
| Teradata Vantage | Teradata Vantage Users Email List | 2.5k | 495 | Global |
| ClickHouse Cloud | ClickHouse Cloud Users Email List | 8.2k | 1.6k | Global |
| Firebolt | Firebolt Users Email List | 660 | 132 | Global |
| Dremio | Dremio Users Email List | 1.8k | 365 | Global |
| Vertica OpenText | Vertica OpenText Users Email List | 2.9k | 580 | Global |
| Cloudera Data Platform | Cloudera Data Platform Users Email List | 1.9k | 373 | Global |
| Alibaba Cloud AnalyticDB | Alibaba Cloud AnalyticDB Users Email List | 21k | 4.2k | Global |
Request a free sampleNO CARD · NO OBLIGATION · 45-DAY FRESHNESS CYCLE
HOW IT WORKS
How to build your Data Warehouse / ETL list
Do your buyers use cloud data warehouses, ETL or ELT tools, or analytics engineering? Then this list helps you reach them first.
Select your data platform
Pick the data tool your buyers use. Choose Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend, Informatica or Matillion.
Filter by workflow and buyer role
Pick the work, such as warehouses, ETL, data quality, pipelines or a warehouse move. Then pick the roles you want, from data engineers and architects to BI leads and the CDO.
Build and launch targeted outreach
Narrow by industry, size, revenue, region and cloud. Then use the list for cold email, calls, LinkedIn, ABM, partner outreach, CRM updates or research.
- Verified data warehouse contacts
- Snowflake, Fivetran and BigQuery users
- Data engineer buyer role data
- Free 100-record sample list
THE COMPLETE GUIDE
Best Fit Use Cases for Data Warehouse and ETL Software Data
A short guide for B2B teams that sell into cloud data, ETL and analytics engineering.
01
Best fit use cases for data warehouse and ETL data
This list suits B2B teams that need to reach companies by their data platform. Sales, marketing, ABM and data consulting teams use it to reach Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt and Talend users.
It works well for data warehouse software lead generation. Teams use it for a Snowflake customers database, a Fivetran users contact list, an Amazon Redshift database, a Google BigQuery customers list, dbt users contact data and a Talend customers database.
You can also build a data engineers email list B2B and add cloud data warehouse users contact data to what you hold. It covers an ETL pipeline software database and verified data warehouse technology contacts. Use it for data rules, monitoring, cloud data moves, BI, partner recruitment and research.
02
How to use data warehouse and ETL software data
First, pick your data platform. Choose Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend, Informatica or Matillion.
Next, pick the work. That could be a warehouse, ETL, ELT, data links, analytics engineering, data quality, pipelines or a warehouse move. Then pick the roles: data engineer, data architect, analytics engineer, BI manager, CDO, cloud data lead, IT director or head of data.
Last, narrow by industry, size, revenue, region, cloud and company type. Use the list for cold email, calls, LinkedIn, ABM, partner outreach, CRM updates or research.
FAQS
Questions, answered honestly
Straight answers about how the data is built, checked and delivered.
It is a verified B2B list of companies that use cloud data warehouses, ETL and ELT tools, data links and analytics engineering. Each record has company details, buyer contacts, the tool in use, industry and location. It is ready to load into a CRM.
Yes. We build it around your industry, region, company size, job titles and goal. It suits data engineering, governance, monitoring, BI, warehouse tuning and cloud data offers.
Yes. It helps vendors and consultants reach companies that use Fivetran to move and sync data into a cloud warehouse.
Yes. It helps AWS partners, cloud data consultants and analytics vendors reach companies that use Redshift for warehousing and BI.
Yes. It helps vendors reach companies that use BigQuery for serverless analytics, BI reports, large queries and data science.
Yes. It helps vendors reach companies that use dbt for analytics engineering, data models, tests, documents and agreed metrics.
Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse and Databricks lead most shortlists, and the best data warehouse platforms 2025 lists looked much the same. The list shows which companies run each.
Yes. Companies are tagged by the ETL framework for data warehouse environments they run, such as Informatica, Talend, Fivetran or dbt, and there is a Hadoop users email list for older estates. If the product is niche or legacy, the free 100-record sample shows how many companies we can confirm before you buy anything.
Yes. Data warehouse and ETL consulting services firms are tagged apart from the companies that run the platforms, for partner and channel work.
QUESTIONS THAT BRING BUYERS TO THIS PAGE, ANSWERED PLAINLY
Yes. It helps vendors and consultants reach companies that use Talend for ETL, data links, data quality and large data flows.
It lists the technical contacts who own data pipelines, warehouses, ETL and ELT, data links, data models and the data platform.
It lists verified contacts at companies that use Snowflake, Amazon Redshift, Google BigQuery and similar cloud warehouses.
It lists companies that use tools to pull, clean, load and join data from many sources for analytics, reports and BI.
They are business contacts at companies that use warehouse or ETL software. Most are data engineers and architects, analytics engineers, BI managers, CDOs, cloud data leads and IT directors.
Most often as a CSV or Excel file. We can shape it for your CRM, email tool, sales platform or ABM system.
FREE · NO CARD · NO OBLIGATION
Ready to reach data warehouse and ETL software buyers?
Tell us the platform, the industry and the market. We send 100 verified records to judge before you buy.
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