About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Sr. Data Engineer
Office hybrid - San Francisco or Seattle
The Chief Pipeline Office team goes deep on data to grow and enable a data-driven organization by building a world class data stack. In this role, you will own the end-to-end data delivery, from engaging with stakeholders and data modeling with analysts to building and running production pipelines. You will set the golden standard for what “run-the-business” data looks like, showing how teams around Salesforce can leverage data to drive their business. Successful candidates will be able to turn end-user requirements into project roadmaps and eventually running code, while providing strategic recommendations, and guiding the charge on execution and change management.
What You’ll Be Doing…
- Designing flexible, easy-to-use data Kimball styled data models that describe the business to support self-service analytics.
- Building robust, scalable data processing and data ingestion pipelines into our data warehouse.
- Develop data quality automation and unit tests to ensure the accuracy of the data delivered to the Analysts, Data Scientists, and Business Customers.
- Collaborating cross-functionally with teams across Salesforce to ensure consistent data modeling standards and processes.
- Consulting on and driving the operational rigor and framework vital to unify and accelerate adoption of outstanding dashboards.
Who You Are…
- Experienced. 5+ years of professional experience as a data engineer in Sales Operations, Finance, Marketing, or other related fields.
- Technically Savvy. Authority in Snowflake SQL queries. Authority in data modeling standard processes. Experience with Docker and AWS stack (Fargate, EC2, etc.) Specific work experience with DBT strongly preferred.
- Organized. Proven project execution skills with a strong desire to document standard methodologies and process improvements. Ability to see the bigger picture and prioritize accordingly.
- Analytical. Strong data analysis skills, including attention to detail and ability to manage various data points to achieve a common goal.
- Flexible & Nimble. Ability to excel in a fast growing/fast paced environment, delivering with care while managing deadlines.
- Multi-Tasker. Ability to understand broader business and financial issues, prioritize multiple projects and tasks, and communicate across various project stages and departments.
- Education. A related technical degree required.