Cloud Data Integration Account Executive

Salesforce, Inc.; Town of Boston, Northern (NY, KY); Hybrid; USD 176,000 - 236,000; Full time

Job summary

Salesforce is hiring an Informatica Data Integration Specialist Account Executive to drive IDMC value across multi-cloud architectures in a hybrid US market. You will qualify complex data movement use cases, translate data engineering requirements into business impact, and manage integrated cloud data strategies with senior stakeholders.

The role emphasizes quota attainment, technical credibility in ETL/ELT, and collaboration with data leaders to align AI/data initiatives with enterprise goals.

Qualifications

• 7–10 years of experience selling Data Integration, iPaaS, or complex ETL solutions.
• Proven ability to lead white-boarding sessions focused on data pipelines and Cloud Data Warehousing.
• Strong communication and presentation skills with senior stakeholders (C-level/VP).

Responsibilities

• Achieving a dedicated quota for Data Integration products by identifying and closing complex opportunities.
• Acting as a technical sales authority on Cloud Ecosystems (AWS, Azure, GCP, Snowflake, Databricks, etc.), articulating value of IDMC.
• Leading deep-dive discovery sessions to qualify high-volume data movement use cases.
• Driving forecasting accuracy and pipeline generation for Data Integration.
• Partnering with Chief Data Officers and Enterprise Architects to align Informatica’s integration roadmap with AI/data strategies.

Skills

Sales experience

Data integration

Cloud ecosystems

Communication skills

Strategic thinking

Tools

Snowflake

Databricks

AWS

Azure

GCP

Job description

Salesforce is hiring an Informatica Data Integration Specialist Account Executive to drive IDMC value across multi-cloud architectures in a hybrid US market. You will qualify complex data movement use cases, translate data engineering requirements into business impact, and manage integrated cloud data strategies with senior stakeholders.

The role emphasizes quota attainment, technical credibility in ETL/ELT, and collaboration with data leaders to align AI/data initiatives with enterprise goals.