AI-Driven Data Integration Account Executive

salesforce.com, inc.

Atlanta (GA)

On-site

USD 160,000 - 214,000

Full time

6 days ago
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Job summary

Salesforce is seeking an Informatica Data Integration Specialist Account Executive to unlock IDMC value by partnering with Data Foundation Account Executives. You will translate complex data engineering needs into measurable business outcomes, focusing on ETL/ELT, mass ingestion, and multi-cloud connectivity.

You will lead discovery sessions, qualify high-volume data movement use cases, and drive forecasting and pipeline generation while collaborating with CDOs and Enterprise Architects on AI

Qualifications

  • 7-10 years of experience selling Data Integration, iPaaS, or complex ETL solutions.
  • Proven track record leading whiteboard sessions on data pipelines and cloud data warehousing migrations.
  • Strong business acumen with excellent communication and presentation skills.

Responsibilities

  • As an Informatica Data Integration Specialist Account Executive, drive quota for IDMC and close complex opportunities.
  • Serve as technical sales authority on cloud ecosystems (AWS, Azure, GCP, Snowflake, Databricks).
  • Lead discovery sessions for high-volume data movement use cases, including Legacy ETL-to-Cloud migrations and real-time streaming.
  • Drive forecasting accuracy and pipeline generation for Data Integration.
  • Collaborate with CDOs and Enterprise Architects to align integration roadmap with AI and data engineering strategies.
  • Lead pricing and consumption capacity scoping efforts.

Skills

Data Integration sales
iPaaS sales
ETL solutions

Tools

Snowflake
Databricks
AWS
Azure
GCP

Job description

Salesforce is seeking an Informatica Data Integration Specialist Account Executive to unlock IDMC value by partnering with Data Foundation Account Executives. You will translate complex data engineering needs into measurable business outcomes, focusing on ETL/ELT, mass ingestion, and multi-cloud connectivity.

You will lead discovery sessions, qualify high-volume data movement use cases, and drive forecasting and pipeline generation while collaborating with CDOs and Enterprise Architects on AI

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