Senior Data Engineer

Senior Data EngineerSalesforce 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? Agentforce is the future of AI, and you are the future of Salesforce.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).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 DoingPartner closely with Product teams and business stakeholders to identify high-impact questions and translate business needs into scalable data models, metrics, analyses, and technical solutionsPartner 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 analyticsDesign, 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 performanceOwn the end-to-end lifecycle of metrics, analytical models, and data products, from initial exploration and prototyping through production, adoption, and ongoing maintenanceLeverage AI-assisted development to accelerate engineering productivity while maintaining high standards for code, data quality, and maintainability, and build data foundations that enable automation and AI-native insights and decision-makingLead and influence the data strategy across multiple teams, domains, and use cases, driving alignment on scalable technical foundations and long-term investmentsDrive initiatives that expand access to trusted company metrics, enabling self-service analytics and faster, more consistent decision-making across SlackEstablish, document, and promote data engineering best practices across SlackMentor engineers and provide hands-on technical guidance, helping raise the technical bar across the organizationYou're Our Person If...You have 8+ years of overall software engineering or data engineering experience, including 5+ years of hands-on experience with data architecture, data modeling, data management, and metadata managementYou can independently structure and own ambiguous, high-impact problems from initial framing through technical strategy, execution, and measurable outcomesYou bring strong autonomy, resourcefulness, and creativity when navigating complex technical, operational, and stakeholder constraintsYou have deep expertise in SQL and proven experience designing scalable data pipelines and data transformations that operate reliably across large and complex datasetsYou have a proven track record of architecting and optimizing data models, schemas, and processing workflows to improve performance, scalability, cost efficiency, and reliability in modern data warehouse environmentsYou can influence technical direction and drive alignment across Engineering, Product, Data Science, Analytics, and business stakeholders without relying solely on formal authorityYou are proficient in at least one programming language commonly used in Data Engineering, such as Python or JavaYou have hands-on experience with large-scale data technologies and platforms such as Snowflake, Spark, Airflow, and HiveYou have experience working with relational and NoSQL data stores and a range of data modeling approaches, including logging, columnar, star and snowflake schemas, and dimensional modelingYou are familiar with data governance frameworks, software development lifecycle (SDLC) practices, and Agile methodologiesYou have excellent written and verbal communication skills, with the ability to influence and collaborate effectively with technical and business stakeholders at all levelsEven Better If...You have a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent training, fellowship experience, or relevant professional experienceUnleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.