Senior or Lead 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.

Sr. or Lead Data Engineer

Office hybrid in San Francisco, CA or Bellevue, WA

The Salesforce Cloud Economics and Capacity Management (CECM) team is looking for a Senior Engineer with experience across distributed systems to join us!

You will be working multi-functionally with engineers, architects, and product managers to build the breakthrough features that our internal customers will love, adopt and use while ensuring stable and scalable applications. You'll be a part of a modern, lean, self-governing product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance.

CECM develops intelligent, data driven tools which enable strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. We are building a platform that provides near real-time monitoring of cost and capacity utilization of the infrastructure, which will help in optimizing prioritization and minimizing costs. We apply advanced machine learning techniques to turn the petabytes of data generated by our global infrastructure into actionable predictions and business insights used by capacity planners, internal service owners, and technical leaders daily. As an internal tooling team, engineers are expected to directly interact with customers to develop requirements and design, release and maintain distributed systems with visibility throughout Salesforce.

This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of operational data. The skillset includes possessing strong data architecture, ETL, SQL and a proven track record working with enterprise metrics to build automated data pipelines with deep proficiency in Big Data Tech stack such as Spark, Trino, Hive, Airflow.

Responsibilities

• Develop, automate, enhance, maintain scalable ETL pipelines

• Independently design & develop resilient and reusable automation data frameworks.

• Participate in data pipeline development being delivered by multiple engineers

• Participate in requirements gathering, design, and development of complex datasets

• Mentor junior team members in all aspects of the data maturity lifecycle

• Work and collaborate with global teams across AMER, and APAC.

Required Skills/Experience

• A related technical degree required.

• 5+ years of experience in data engineering, data modelling, automation and analytics

• Deep understanding of data engineering tech stack, database designs, associated tools, system components, internal processes and architecture.

• Experience working as a senior engineer in a customer-focused team

• Must be able to strategically communicate status and identify risks

• Self-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines.

• Must be results oriented and able to move forward with minimal direction

• Experience in distributed SQL analytics engines such as Spark and Trino

• Deep proficiency in Big Data technologies like Spark, Trino, Hive, Airflow, Docker

• Experience working in Agile and Scrum methodology, incremental delivery, and CI/CD

• Experienced in cloud provider platforms such as AWS, Azure, GCP

• Experience with data visualization tools like Tableau is a Plus

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