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Informatica Cloud Account Executive, Data Integration
Salesforce. Achieve a dedicated quota for Data Integration products by identifying and closing complex opportunities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Integration solutions, including iPaaS and ETL, with a strong focus on cloud ecosystems such as AWS, Azure, GCP, Snowflake, and Databricks. Proven ability to lead technical sales efforts and collaborate with cross-functional teams to drive integration strategies and achieve sales targets.
Highest-signal resume keywords
Data Integration Sales ExperienceCloud Ecosystem ExpertiseData Engineering Pipeline KnowledgeFinancial Services Industry ExperienceExcellent Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IntegrationIPaaSETL SolutionsCloud Data WarehousingGenAI Data ReadinessAPI-Led IntegrationReal-Time StreamingForecasting AccuracyPipeline GenerationPricing and Consumption Capacity Scoping
Soft Skills
Strong Business AcumenCollaborative TeamworkPresentation Skills
Tools & Technologies
AWSAzureGCPSnowflakeDatabricksInformatica Intelligent Data Management Cloud
Industry Keywords
Financial ServicesIndustry RegulationsCloud Ecosystems
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformInformatica
About the role
Key responsibilities & impact- Achieve a dedicated quota for Data Integration products by identifying and closing complex opportunities
- Act as a technical sales authority on cloud ecosystems including AWS, Azure, GCP, Snowflake, and Databricks
- Articulate how Informatica's Intelligent Data Management Cloud provides connectivity and performance for multi-cloud architectures
- Lead discovery sessions for legacy ETL-to-cloud migrations, real-time streaming, and API-led integration use cases
- Drive forecasting accuracy and pipeline generation for Data Integration
- Partner with Chief Data Officers and Enterprise Architects on integration roadmaps and AI/data engineering strategies
- Lead pricing and consumption capacity scoping efforts
Requirements
What you’ll need- 7-10 years of experience selling Data Integration, iPaaS, or complex ETL solutions
- Proven track record leading white-boarding sessions focused on Data Engineering pipelines and Cloud Data Warehousing migration strategies
- Understanding of GenAI data readiness, including how data integration fuels RAG and LLM performance
- Demonstrated ability to work collaboratively in dynamic, cross-functional team environments
- Strong business acumen
- Excellent communication and presentation skills
- Recent sales experience with cloud ecosystems such as Snowflake, Databricks, AWS, Azure, or GCP is an advantage
- Deep knowledge and experience selling software in the Financial Services industry, including understanding of industry regulations, is an advantage
Benefits
Comp & perks- Time off programs
- Medical insurance
- Dental insurance
- Vision insurance
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
- Incentive compensation may be available for sales roles
- Equity may be available
- Reasonable accommodations during the application or recruiting process