Data Engineer - Senior or Lead

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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.

Data Engineer - Multiple Levels

Office Hybrid in San Francisco or Seattle

In school or graduated within the last 12 months? Please visit Futureforce for opportunities.

Salesforce is embarking on our own Digital Transformation to deliver customer success for our customers and accelerate our growth. A key pillar of this transformation is building a strong data foundation to support all of our core marketing needs through intelligent data sets as a service.

We’re looking for an experienced and committed data engineer to build data pipelines and metrics for the sales and marketing organization. You will work with business partners across marketing functions to understand business needs, translate them to technical requirements, wrangle data from various systems, and design automated data pipelines to drive insights. You will collaborate with internal technology groups to automate the data collection and definition process.

The right candidate will have strong data architecture, ETL/ELT, SQL, and a proven track record of working with enterprise metrics to build automated data pipelines. The candidate will also have strong operational skills to drive efficiency and speed, expertise in building repeatable data engineering processes, strong project management skills, and a vision for how to deliver data products.

Responsibilities

• Actively develop, enhance, and maintain data pipelines and workflows for marketing data and metrics.

• Work with marketing teams across the organization to build data metric requirements, create quick POCs, and document functional and technical requirements.

• Develop the framework in Snowflake and BigQuery to automate the ETL process.

• Develop DBT ETL pipelines for data ingestion and transformation.

• Maintain, deploy, and version the ETL process code.

• Use GIT CI/CD for DevOps.

• Work with business partners to analyze metrics and build data insights.

• Help in building POC solutions for new marketing metrics that drive effective decision-making.

• Design and develop easy, repeatable, and reusable automation data frameworks.

• Responsible for end-to-end data management activities, including identifying fields, data lineage and integration, performing data quality checks, analysis, and presenting data.

• Manage business intelligence and data warehouse plans across marketing.

• Review and validate logical and physical designs to ensure alignment with the defined solution architecture. Review solution designs to ensure that the defined standards and framework are followed.

• Evaluate, determine root cause, and resolve critical issues.

• Work with internal team members and external partners to support data collection and analysis and understand reporting needs.

• Collaborate with Data Science teams and support them with all the data they need to produce their models.

• Work and collaborate with global teams across North America, EMEA, and APAC.

Required Skills/Experience

• 7+ years of related information systems experience in data engineering, data modeling, automation, and analytics

• Deep understanding of data engineering concepts, database designs, associated tools, system components, inter