Principal Data Engineer

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Job Category

Software Engineering

Job Details

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.

Principal Data Engineer

Office hybrid in San Francisco, CA

The Availability Cloud at Salesforce is accountable for ensuring all products deliver critically important availability so that our customers can exceed the expectations of their customers.  The Availability Data & Analytics team provides service owners the data, insights, analytics and AI-based frameworks to easily manage their products with high availability.   We enable teams throughout Salesforce to deeply understand and optimize their respective areas through extraordinary analytics and easily consumable data. We are the champions of diversity, inclusion, and sustainability.

You iterate quickly, learn and iterate again.  You consistently break through obstacles, work horizontally and turn “hard, sophisticated” problems into bite-sized, easily tractable solutions. You are a product leader, defining the technical strategy, digging into the math behind a dashboard because the data matters.  Communication is a strength, both written and live.  Your executive presence is comfortable and eloquent because you regularly work with these customers. You roll up your sleeves, build dashboards and debug analysis regularly.

You will produce insights (e.g. performance drivers, retention analysis, behavioral personas) to help grow Salesforce Cloud businesses. This requires acquiring, cleaning, structuring data from multiple sources (e.g. Hadoop, Splunk), and analyzing the data using Tableau and will include  SQL / Python / R.  Evangelize the insights through storytelling. Create easy-to-consume media that inspires into action anyone from senior execs to fellow analysts.  Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, improving team processes, and other lateral activities.

Responsibilities

• Drive and design a deeper, more granular incident management reporting structure for thematic relationship to help drive business value and organizational focus areas

• Own the design and delivery of real time business critical analytics, dashboards, reporting and data visualizations that directly power availability decisions across all of Salesforce, with a specific focus on incident & post incident data.

• Work across a large number of customers to drive the design, build and maintenance of new data models and data pipelines in production. 

• Build multi-functional relationships with AI/ML Engineers, Product Managers, Incident Response, SRE, CCE and Cloud Leaders to deliver on a model which will track and deliver actionable insights around technical and non-technical themes.

• Define and manage SLA’s for data sets and processes running in production

• Improving the data engineering competency across Salesforce

Minimum Qualifications:

• 7+ years of data engineering and analytics experience across at least 2 different companies 

• Deep understanding of service reliability, product availability and observability standards, and standard metrics

• Communication and leadership experience, with experience initiating and driving projects tied to business outcomes

• Experience with data driven performance and reliability improvement across platform and/or products, data foundation for consumer experience in Products, advance machine learning problems and data/analytics 

• Data architecture and modeling experience

• Experience in SQL or similar languages

• Development experience in at least one object-oriented language (Python, Java, etc.)

• A related technical degree is required

Accommodations