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Job Category
Software EngineeringJob Details
About Salesforce
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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 that enable automation and AI-native insights and decision-making
- Lead and influence the data strategy across multiple teams, domains, and use cases, driving alignment on scalable technical foundations and long-term investments
- Drive initiatives that expand access to trusted company metrics, enabling self-service analytics and faster, more consistent decision-making across Slack
- Establish, document, and promote data engineering best practices across Slack
- Mentor engineers and provide hands-on technical guidance, helping raise the technical bar across the organization
You'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 management
- You can independently structure and own ambiguous, high-impact problems from initial framing through technical strategy, execution, and measurable outcomes
- You bring strong autonomy, resourcefulness, and creativity when navigating complex technical, operational, and stakeholder constraints
- You have deep expertise in SQL and proven experience designing scalable data pipelines and data transformations that operate reliably across large and complex datasets
- You 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 environments
- You can influence technical direction and drive alignment across Engineering, Product, Data Science, Analytics, and business stakeholders without relying solely on formal authority
- You are proficient in at least one programming language commonly used in Data Engineering, such as Python or Java
- You have hands-on experience with large-scale data technologies and platforms such as Snowflake, Spark, Airflow, and Hive
- You 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 modeling
- You are familiar with data governance frameworks, software development lifecycle (SDLC) practices, and Agile methodologies
- You have excellent written and verbal communication skills, with the ability to influence and collaborate effectively with technical and business stakeholders at all levels
Even Better If...
- You have a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent training, fellowship experience, or relevant professional experience
Unleash Your Potential
When 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.
Accommodations
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.Skills Required
- 8+ years of overall software engineering or data engineering experience
- 5+ years of hands-on experience with data architecture, data modeling, data management, and metadata management
- Deep expertise in SQL
- Experience designing scalable data pipelines and transformations across large, complex datasets
- Experience architecting and optimizing data models, schemas, and processing workflows in modern data warehouse environments
- Ability to independently own ambiguous, high-impact problems from framing through execution and measurable outcomes
- Ability to influence technical direction and align Engineering, Product, Data Science, Analytics, and business stakeholders
- Proficiency in at least one data engineering programming language, such as Python or Java
- Hands-on experience with large-scale data technologies such as Snowflake, Spark, Airflow, and Hive
- Experience with relational and NoSQL data stores and multiple data modeling approaches
- Familiarity with data governance frameworks, SDLC practices, and Agile methodologies
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent training, fellowship, or relevant professional experience
Salesforce Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.
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Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, and vision options, mental‑health programs, and low‑deductible or heavily subsidized tiers. Feedback suggests offerings like Lyra counseling, care navigation, and wellness reimbursements make access broad and user‑friendly.
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Parental & Family Support — Parental and family benefits are portrayed as robust, including paid leave for primary and secondary caregivers and extensive family‑building support such as fertility, adoption, and doula benefits. Backup childcare and caregiver resources provide practical help across different life stages.
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Leave & Time Off Breadth — Time‑off programs are highlighted as generous, with flexible PTO and hybrid options alongside seven days of paid Volunteer Time Off each year. Feedback suggests this combination supports work‑life balance and community engagement.
Salesforce Insights
What We Do
Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.
Why Work With Us
There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.
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