Sr. Data Engineer, Enterprise - Slack

Reposted 5 Days Ago
3 Locations
In-Office
173K-286K Annually
Senior level
Cloud • Software
If you’re ready to build your future — and the future of technology — then you’re in the right place.
The Role
As a Sr. Data Engineer, you will design and scale data pipelines, manage data architecture, and enhance data strategies for enterprise customers.
Summary Generated by Built In

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.

About the Team

At Slack, data isn't just infrastructure — it's the engine behind every great enterprise decision. Our Data Engineering team builds the products and pipelines that power our largest customers, delivering the metrics and insights that drive how they work. We operate at massive scale, transforming billions of records into actionable intelligence, and we're looking for talented engineers to help us do it even better.

As a Data Engineer on the Enterprise team, you'll partner cross-functionally with business stakeholders, analytics teams, and backend engineers to design, build, and scale both batch and real-time data pipelines. You'll contribute directly to initiatives that support key decision-makers within our enterprise customer base — helping them understand adoption, engagement, and the health of their Slack deployments.

You'll also be a core contributor to GovSlack, our cross-team initiative to establish feature parity for U.S. government agencies and highly regulated organizations. This is high-visibility, high-impact work that matters beyond the product — it supports national infrastructure.
We're looking for passionate, detail-oriented engineers who are excited about building a rock-solid data foundation and making a real impact at one of the world's most widely used collaboration platforms.

What You'll Be Doing
  • Translate complex business requirements into scalable, reusable data models that are easy to understand and adopted across subject areas

  • Design, implement, and maintain data pipelines that deliver high-quality data under defined SLAs

  • Partner with product, analytics, and engineering teams to build trusted, well-documented foundational datasets aligned with business strategy

  • Champion data strategy across multiple teams and use cases, driving consistency and reliability at scale

  • Expand access to core company metrics through strong technical and process foundations

  • Identify, document, and promote data engineering best practices across Slack

What You Should Have:
  • 5+ years of experience in data architecture, data modeling, master data management, or metadata management

  • Hands-on expertise with relational modeling approaches — including columnar, star schema, snowflake, and dimensional modeling

  • Proven track record optimizing schemas, tuning SQL, and scaling ETL pipelines in OLAP and data warehouse environments

  • Experience with Airflow or a comparable workflow orchestration platform for data pipeline management

  • Strong proficiency in Python and SQL

  • Familiarity with data governance frameworks, SDLC, and Agile methodologies

  • Excellent written and verbal communication skills with the ability to partner effectively across technical and business teams

  • U.S. citizen or lawful permanent resident, willing to undergo a background check for GovSlack authorization

Bonus Points
  • Hands-on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, or Hadoop/Big Data ecosystems

  • Experience with Flink or other real-time stream processing frameworks

  • Proficiency in Scala

  • Familiarity with cloud platforms (AWS, GCP, or Azure)

  • Experience with NoSQL data stores

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

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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

  • 5+ years of experience in data architecture, data modeling, master data management, or metadata management
  • Hands-on expertise with relational modeling approaches
  • Proven track record optimizing schemas, tuning SQL and scaling ETL pipelines
  • Experience with Airflow or comparable workflow orchestration platform
  • Strong proficiency in Python and SQL

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.

  • Fair & Transparent Compensation Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
  • Parental & Family Support Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
  • Wellbeing & Lifestyle Benefits Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.

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The Company
HQ: San Francisco, CA
72,000 Employees

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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