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*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 CategorySoftware EngineeringJob 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.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. About Slack Slack is your Digital HQ – a place where work flows between your people, systems, partners, and customers. From Fortune 100 companies to corner markets, millions of people around the world use Slack to connect their teams, unify their systems, and drive their business forward. Slack breaks down communication silos inside and beyond your organization by bringing teams and tools together around common goals, projects and processes in channels and in Slack Connect. It removes the limits of physical walls, giving people the flexibility to do their best work where, when and how they prefer with features like huddles and clips. And it empowers everyone to automate common tasks with apps and workflows. In this digital-first era, Slack’s mission is to make people’s work lives simpler, more pleasant, and more productiv About The Team The **Metrics Foundations** team is part of Slack’s **Data Engineering** organization, working alongside product and GTM data science and analytics teams to ensure Slack remains a data-driven company. Data Engineering is responsible for building and maintaining the infrastructure that powers the Product, Analytics, Marketing, Sales, and Operations functions. It is a foundational pillar for all of Slack and one of the most highly leveraged teams in the company. The Metrics Foundations team builds foundational, usable datasets and metrics to enable fast and reliable data-informed decision-making. We empower product owners—supported by data science, analytics, and engineering—to configure key product and business metrics with centralized governance, ensuring high quality and adherence to targeted landing time SLAs. About the Role As a **Senior Data Engineer**, you will be responsible for championing the **trust and quality of our data**. Our mission is to develop and maintain dependable, trusted, and well-governed data models and metrics that ensure consistency, accuracy, and timely access to insights. In this role, you will work cross-functionally with business domain experts, analytics, and engineering teams to design and implement our data warehouse model. You will **design, build, and scale data pipelines** that transform billions of records into actionable data models—enabling impactful insights. You will lead initiatives to formalize data governance and management practices, streamline our information lifecycle, and define key company metrics. You will also provide mentorship and hands-on technical support to help build trusted and reliable data products. You have deep technical expertise, thrive in a developing data ecosystem, and can help establish a strong data foundation for the company. You’re a self-starter—detail-oriented, quality-driven, and passionate about making a significant impact at Slack.### **What you will be doing*** You will translate business requirements into data models that are easy to understand and used by different disciplines across the company* You will design, implement and build pipelines that deliver data with measurable quality under the SLA* You will partner with business domain experts, data analysts, data science and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service* You will be a champion of the overall strategy for data across multiple teams and different use cases* You will increase access to foundational company metrics through process and technical foundations* You will identify, document and promote data engineering best practices throughout Slack* You will build systems that enable automation and AI-native insights generation and decision-making### **What you should have*** You have over 5 years of hands-on experience in data architecture, data modeling, master data management, and metadata management, with a total of 8+ years of overall experience in software engineering.* You have a proven track record of scaling and optimizing schemas, and performance tuning SQL and ETL pipelines in OLAP and data warehouse environments.* You have proficiency in at least one programming language commonly used within Data Engineering, such as Python, or Java.* You have hands-on experience with Big Data technologies such as Snowflake, Spark, Airflow, and Hive* You have recent accomplishments working with both relational and NoSQL data stores, as well as various data modeling approaches (e.g., logging, columnar, star and snowflake schemas, dimensional modeling).* You are familiar with data governance frameworks, the software development life cycle (SDLC), and Agile methodologies.* You possess excellent written and verbal communication skills, along with strong interpersonal abilities to collaborate effectively with both technical and business stakeholders.* You hold a Bachelor's degree in Computer Science, Engineering, or a related field, or have equivalent training, fellowship experience, or relevant work experience.Accommodations If you require assistance due to a disability applying for open positions please submit a request via this . Posting Statement Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Pursuant 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.Unleash 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.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request #J-18808-Ljbffr Salesforce, Inc.

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