Salesforce Engineer

Posted:
10/16/2024, 9:33:05 AM

Location(s):
Mountain View, California, United States ⋅ California, United States

Experience Level(s):
Mid Level

Field(s):
IT & Security

Pay:
$188/hr or $391,040 total comp

GAQ225R107

Location: San Francisco, CA or Mountain View, CA

At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.

Our Databricks Business Systems Team is looking for a Salesforce Developer to manage our Salesforce platform and be a strategic partner in using this core system across the business. Reporting to the Senior Manager of Business Systems, you will own the process for design, test, build and implementation. Additionally you will help guide the business in process development and enhancement and work on future implementation needs. We want someone passionate about leveraging Salesforce to achieve success and value across the business. We want someone who is excited about being a crucial part of a high-growth company with an incredible product.

You will be the lead resource on a team where you will leverage your skills and expertise to enhance and evolve the value of our Salesforce instance across the business. You will partner with other teams to bring sustainable maturity to our use of the Salesforce platform. With the support of your team, you will be in the position to guide the business to be more efficient with Salesforce and products that connect to and rely on Salesforce.

The right person for this role will have analytical and problem-solving skills with a proven background in Salesforce development, configuration, and governance standardization. They should be able to help translate GTM and CS business needs to system configuration.

The impact you will have:

  • Design/Strategy: Build core platform functionality on the Salesforce platform including the way Salesforce interacts and is leveraged by other key business systems.
  • Collaboration: You are the lead for helping our business leverage and use Salesforce. You will work with other teams and will have a seat on the IT Portfolio Working Group.
  • Analytics: You will play an analytical role in quickly and thoroughly analyzing business requirements for reporting and subsequently translating the emanating results into good technical data designs. In this capacity, the System Analyst configure, develops technical specification documentation for all processes.

What we look for:

  • 2 or more years of experience with Salesforce engineering in a high-growth environment.
  • Experience developing and configuring Salesforce CPQ solutions such as Product Rules, Pricing Rules, CPQ-pricing scripts and Advanced Approvals.
  • Experience in Salesforce administration and other applications like financial force, learning management systems
  • Knowledge of security and governance (profiles, permission sets, data visibility, sharing settings )
  • Experience with the Life Cycle of Development including Salesforce Deployment/Packaging using Metadata API, ChangeSet and code coverage
  • Experience implementing Salesforce Portal (Community portal), Service Console, Lightning components is required
  • Hands-on experience in Salesforce development skills with good command on Triggers, Configuration, SOQL, REST APIs etc
  • Experience with application development like ReactJS and JQuery 

 

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range
$105,100$185,900 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning