Senior Data Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Metrics Foundations team is part of Slack's Data Engineering organization within Data & Insights and works closely with Product, GTM, Data Science, and Analytics teams to ensure Slack remains a data-driven company. Data Engineering builds and operates the infrastructure that powers Product, Analytics, Marketing, Sales, and Operations, serving as a foundational pillar for Slack and one of the most highly leveraged teams in the company. The Metrics Foundations team builds trusted, reusable datasets and metrics that enable fast, reliable, data-informed decision-making. We partner with Product, Data Science, Analytics, and Engineering teams to define and manage critical product and business metrics through centralized governance, ensuring high data quality, consistency, and adherence to targeted SLAs (service-level agreements). The Experience As a Senior Data Engineer, you play a critical role in building the trusted data foundation that powers decision-making across Slack. You champion data quality, governance, and reliability while designing and scaling data models, pipelines, and metric systems that provide consistent and timely access to business insights. You work cross-functionally with business domain experts, Product, Analytics, Data Science, and Engineering teams to understand complex business problems and translate them into scalable data models and technical solutions. You design, build, and optimize data pipelines that transform billions of records into trusted, actionable datasets and metrics. You lead initiatives that establish and evolve data governance and management practices, improve the information lifecycle, and standardize critical company metrics. You also provide technical leadership and mentorship, helping teams across Slack build high-quality, reliable, and reusable data products. The ideal candidate brings deep technical expertise, strong business acumen, and a track record of operating effectively in complex and evolving data ecosystems. You are a self-starter who thrives on ambiguity, takes end-to-end ownership, and is passionate about building data foundations that have broad organizational impact. What You'll Actually Be Doing Partner closely with Product teams and business stakeholders to identify high-impact questions and translate business needs into scalable data models, metrics, analyses, and technical solutions Partner with business domain experts, Data Analytics, Data Science, and Engineering teams to build foundational datasets that are trusted, well understood, aligned with business strategy, and enable self-service analytics Design, build, and scale data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets with measurable quality and predictable SLA performance Own the end-to-end lifecycle of metrics, analytical models, and data products, from initial exploration and prototyping through production, adoption, and ongoing maintenance Leverage AI-assisted development to accelerate engineering productivity while maintaining high standards for code, data quality, and maintainability, and build data foundations