Data Engineer and Admin - Private Equity Practice
Description For Data Engineer and Admin - Private Equity Practice
Salesforce, the Customer Success Platform and world's #1 CRM, is seeking a Data Engineer and Admin for their Private Equity Practice. This role will transform how private equity firms create value for investors and portfolio companies. The ideal candidate will build data pipelines and metrics for strategic AI initiatives, working with CxOs in PE portfolio companies. Responsibilities include designing automated data frameworks, end-to-end data management, and collaborating with global teams. The role requires 3-5 years of Salesforce experience, proficiency in data warehousing concepts, and experience with Snowflake. Preferred qualifications include exposure to private equity, venture capital, or M&A, and experience with data visualization tools like Tableau. Salesforce offers world-class enablement, clear path to promotion, and a 1:1:1 model focused on giving back to the community. They provide comprehensive benefits including health, financial, parental benefits, and various perks and discounts.
Responsibilities For Data Engineer and Admin - Private Equity Practice
- Work with cross-functional team members to build data metric requirements, build quick POC's, document functional and technical requirements
- Design & develop easy, repeatable and reusable automation data frameworks
- Responsible for end-to-end data management activities
- Evaluate, settle root cause, and resolve critical issues
- Collaborate with Partner System Integrators (SIs) and Engineers to support data needs, develop scalable architecture, and deploy solutions
- Work and collaborate with global teams across North America, EMEA and APAC
- Advise leaders on standard processes around data usage and product development
Requirements For Data Engineer and Admin - Private Equity Practice
- 3-5 Years of Experience implementing/configuring Salesforce Sales Cloud, and/or Service Cloud
- Proficiency in foundational data warehousing concepts and data modeling
- Ability to interface across various technologies through API's
- Experience using Snowflake and similar centralized data platforms
- Full proficiency of data engineering concepts, database designs, associated tools, system components, internal processes and architecture
- Experience working as a technical lead/solution architect in a stakeholder-focused team
- Experience working closely with Analytics/Data Science teams
- Team-first mentality; excellent interpersonal skills
- Must be able to proactively communicate status and identify risks
- Self-starter, highly motivated, able to shift directions quickly
- Must be results oriented and able to move forward without complete information and with minimal direction
Benefits For Data Engineer and Admin - Private Equity Practice
- World-class enablement and on-demand training
- Exposure to executive thought leaders
- Clear path to promotion with accelerated leadership development programs
- Weekly 1:1 coaching with leadership
- Fast Ramp mentorship program
- Week-long product bootcamp
- Sandler Sales Training
- Health benefits
- Financial benefits and perks
- Time off and leave policies
- Parental benefits
- Perks and discounts
