Sr. Data Engineer, Enterprise - Slack

About the role

Salesforce is seeking a Data Engineer to join the Enterprise team. This role focuses on designing, implementing, and maintaining data pipelines that deliver high-quality data under defined Service Level Agreements (SLAs). The ideal candidate will partner with product, analytics, and engineering teams to build trusted, well-documented foundational datasets aligned with business strategy.

Responsibilities

• 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

Requirements

• 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

Qualifications

• 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

Skills

• Passionate about building a rock-solid data foundation and making a real impact at one of the world's most widely used collaboration platforms
• Detail-oriented and excited about contributing to initiatives that support key decision-makers within enterprise customer base
• Willing to work on high-visibility, high-impact work that matters beyond the product

Benefits

At Salesforce, we offer a comprehensive benefits package including:

• Time off programs
• Medical, dental, vision, mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program

For more details, visit Salesforce Benefits.

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.