Data Warehouse and ETL Software Data

Reach companies using
data warehouse and ETL software

Verified data warehouse technology contacts for companies using Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend, ETL pipelines, ELT tools and analytics engineering workflows.

  • Verified data warehouse contacts
  • Snowflake, Fivetran and BigQuery users
  • Data engineer buyer role data
  • Free 100-record sample list
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data warehouse and ETL software
Overview

What Is Data Warehouse and ETL Software Data? 

Data warehouse and ETL software data is a technographic database of companies using platforms to collect, move, transform, store, model and analyse business data across cloud, SaaS, application, database and enterprise systems. The dataset helps you identify organisations using technologies such as Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend and related cloud data, data integration or pipeline automation tools.

  • 30+ CRM platforms covered
  • 95% deliverability guaranteed
  • Direct dials & verified emails
  • Refreshed every 90 days
  • GDPR & CCPA compliant
  • Ready-to-import CSV / CRM
  • Module-level segmentation
  • Free replacement guarantee
  • Snowflake customers database
  • Fivetran users contact list
  • Amazon Redshift database
  • Google BigQuery customers list
  • dbt users contact data
  • Talend customers database
  • Data engineers email list B2B
  • Cloud data warehouse and ETL pipeline data
Data Includes

What information is included in the dataset?

Each record in our ETL pipeline software database is structured for sales, marketing, CRM, ABM, data engineering outreach and market research workflows.

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

Who’s this for?

Built for data, cloud and analytics growth teams

If your buyers use cloud data warehouses, ETL pipelines, ELT tools or analytics engineering workflows, this dataset gives your team sharper targeting.

  • 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
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.

Data Warehouse / ETL PlatformVerified ContactsCompaniesCoverageAction
SnowflakeWarehouse #01
120k24kGlobalGet sample →
Google BigQueryWarehouse #02
110k22kGlobalGet sample →
Amazon RedshiftWarehouse #03
113k22.6kGlobalGet sample →
Microsoft Azure Synapse Analytics / Microsoft FabricWarehouse #04
17.5k3.5kGlobalGet sample →
Databricks Lakehouse / SQL WarehouseWarehouse #05
97.4k19.5kGlobalGet sample →
Oracle Autonomous Data WarehouseWarehouse #06
12.5k2.5kGlobalGet sample →
IBM Db2 WarehouseWarehouse #07
600120GlobalGet sample →
SAP DatasphereWarehouse #08
3.3k655GlobalGet sample →
Teradata VantageWarehouse #09
2.5k495GlobalGet sample →
ClickHouse CloudWarehouse #10
8.2k1.6kGlobalGet sample →
FireboltWarehouse #11
660132GlobalGet sample →
DremioWarehouse #12
1.8k365GlobalGet sample →
Vertica OpenTextWarehouse #13
2.9k580GlobalGet sample →
Cloudera Data PlatformWarehouse #14
1.9k373GlobalGet sample →
Alibaba Cloud AnalyticDBWarehouse #15
21k4.2kGlobalGet sample →
Data warehouse and ETL data includes Snowflake, Google BigQuery, Amazon Redshift, Microsoft Azure Synapse Analytics, Microsoft Fabric, Databricks, Oracle Autonomous Data Warehouse, ClickHouse Cloud, Dremio, Teradata Vantage and more.
FAQs

Questions, answered honestly

Still curious? Our team replies within 4 business hours.

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Data warehouse and ETL software data is a verified B2B dataset of companies using cloud data warehouses, ETL pipelines, ELT tools, data integration platforms, analytics engineering workflows and data transformation systems. It includes company details, decision-maker contacts, platform usage, industry, location and CRM-ready fields.
Yes. DiscoverMSPs can provide a Snowflake customers database based on your target industry, geography, company size, job title and campaign objective. This data is useful for data engineering, governance, observability, BI enablement, warehouse optimisation and cloud data campaigns.
Yes. Fivetran users contact list data can help vendors and consultants reach companies using Fivetran for automated data movement, SaaS data replication, database syncing, cloud warehouse loading and ELT workflows.
Yes. Amazon Redshift database segments can help AWS partners, cloud data consultants and analytics vendors target companies using Redshift for cloud warehousing, analytics workloads and BI reporting.
Yes. Google BigQuery customers list data can help vendors reach companies using BigQuery for serverless analytics, Google Cloud data workloads, BI reporting, large-scale queries and data science workflows.
Yes. dbt users contact data can help vendors target companies using dbt for analytics engineering, data modelling, transformation, testing, documentation and governed metrics.
Explore

Find data warehouse and ETL data the way you sell

Switch between tabs to segment companies by data platform, ETL workflow, industry, geography, company size, buyer role or campaign intent.

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The Complete Guide

Best Fit Use Cases for Data Warehouse and ETL Software Data

A practical guide for B2B teams that need platform-specific cloud data, ETL, ELT, analytics engineering and data platform targeting.

Best fit use cases for data warehouse and ETL data

This dataset is best suited for B2B teams that need platform-specific cloud data, ETL, ELT and data engineering targeting. It helps sales, marketing, ABM and data consulting teams reach companies using Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend and related data warehouse or ETL platforms.

It is especially useful for data warehouse software lead generation, Snowflake customers database targeting, Fivetran users contact list campaigns, Amazon Redshift database outreach, Google BigQuery customers list targeting, dbt users contact data campaigns and Talend customers database outreach.

Teams can also use this data for data engineers email list B2B targeting, cloud data warehouse users contact data enrichment, ETL pipeline software database campaigns, verified data warehouse technology contacts outreach, data governance, observability, cloud data migration, BI enablement, partner recruitment, market research and territory planning.

How to use data warehouse and ETL software data

Start by selecting your data platform. Choose whether you want to target companies using Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend, Informatica, Matillion or related data warehouse and ETL platforms.

Next, select the data workflow you want to target, such as cloud data warehouse, ETL, ELT, data integration, analytics engineering, data transformation, data quality, pipeline automation, warehouse migration or BI enablement. Then define buyer roles such as Data Engineer, Data Architect, Analytics Engineer, BI Manager, Chief Data Officer, Cloud Data Lead, IT Director, Data Platform Manager or Head of Data.

Finally, apply company filters by industry, employee size, revenue range, geography, cloud environment and company type. Use the final dataset for cold email, calling, LinkedIn outreach, ABM campaigns, partner recruitment, CRM enrichment, data engineering campaigns or market research. Every dataset can also be filtered by platform, ETL workflow, cloud environment, location and decision-maker role.

Select your data platform

Choose the data warehouse or ETL platform that matches your campaign goal, including Snowflake, Fivetran, Amazon Redshift, Google BigQuery, dbt, Talend, Informatica, Matillion or related cloud data and pipeline platforms.

Filter by workflow and buyer role

Narrow your list by cloud data warehouse, ETL, ELT, data integration, analytics engineering, data transformation, data quality, pipeline automation, warehouse migration or BI enablement, then select Data Engineers, Data Architects, Analytics Engineers, BI Managers, Chief Data Officers and Cloud Data Leads.

Build and launch targeted outreach

Segment data warehouse and ETL software data by industry, employee size, revenue range, geography, cloud environment and company type, then use the final dataset for cold email, calling, LinkedIn outreach, ABM campaigns, partner recruitment, CRM enrichment, data engineering campaigns and market research.

Why Data Warehouse and ETL Platform Data Matters

Buyer Context

Data warehouse and ETL buyers are not general IT contacts. They are usually connected to data architecture, analytics readiness, BI performance, pipeline reliability, data transformation, cloud infrastructure, data quality, governance and business reporting.

Snowflake

A company using Snowflake may be focused on cloud data warehousing, analytics workloads, data sharing, scalable storage and modern data stack adoption.

Fivetran

A company using Fivetran may be managing automated data movement from SaaS apps, databases and enterprise systems into a cloud data warehouse.

Cloud Data

Companies using Amazon Redshift or Google BigQuery may be focused on AWS analytics workloads, Google Cloud analytics, serverless warehousing, BI reporting and large-scale query performance.

dbt & Talend

A company using dbt may be investing in analytics engineering, data transformation, modelling and governed metrics, while a company using Talend may be managing ETL, data integration, data quality and enterprise data pipelines.

Better Outreach

Platform context helps your team align messaging with cloud data stacks, pipeline reliability needs, transformation workflows, BI enablement goals, warehouse optimisation challenges, governance priorities and AI-readiness roadmaps.

Questions buyers ask us most

Yes. Talend customers database segments can help vendors and consultants reach companies using Talend for ETL pipelines, data integration, data quality, cleansing and enterprise data workflows.
A data engineers email list B2B includes technical contacts responsible for data pipelines, warehouses, ETL workflows, ELT processes, data integration, transformation, modelling, analytics engineering and data platform operations.
Cloud data warehouse users contact data includes verified contacts at companies using cloud warehouse platforms such as Snowflake, Amazon Redshift, Google BigQuery and related systems.
An ETL pipeline software database includes companies using tools to extract, transform, load, replicate, integrate and prepare data from multiple sources for analytics, reporting, BI and operational workflows.
Verified data warehouse technology contacts are business contacts associated with companies using data warehouse or ETL software. They may include Data Engineers, Data Architects, Analytics Engineers, BI Managers, Chief Data Officers, Cloud Data Leads and IT Directors.
The data is usually delivered in CSV or Excel format and can be prepared for CRM, email outreach, sales engagement, ABM platforms or marketing automation systems.

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