Salesforce Lead Distributed Systems/Data Engineer 

United States, California, San Francisco 

579277471

Job Category

Software Engineering

Job Details

You will be working cross-functionally with engineers, FinOps analysts, 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 FinOps product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance.

This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of cloud cost and usage data. The skillset requires strong data architecture, data processing, SQL and a proven track record working with enterprise metrics to build automated data pipelines. Broad experience in distributed backend development is preferred.

Responsibilities

• Develop, automate, enhance, maintain scalable data pipelines

• Independently design and develop resilient and reusable data automation frameworks

• Lead distributed backend development pipeline development being delivered by multiple engineers (predominantly Python)

• Automate cost anomaly detection, alerting, forecasting, budget process, and other FinOps capabilities

• Develop and maintain dashboards and reports to visualize cloud cost and usage trends

• Collaborate with finance and engineering teams to understand and manage cloud spending

• Lead and participate in requirement gathering, design, and development of complex datasets

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

• Work and collaborate with global teams across AMER and APAC regions

Required Skills/Experience

• Bachelor’s degree in Computer Science or equivalent industry experience

• 7+ years of experience in data engineering, preferably in cloud or FinOps environments

• Experience in distributed computation such as Spark and Trino

• Deep expertise in building data pipelines using tools like dbt, Airflow, and similar orchestration frameworks

• Strong communication and stakeholder management skills

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

• Experience in at least one cloud service providers including AWS or GCP

• Experience in distributed backend software engineering environments

• Experience with data visualization tools, preferably Tableau

Unleash Your Potential

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Posting Statement

to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $157,600 to $253,000. For California-based roles, the base salary hiring range for this position is $172,000 to $276,100.