Senior Data Engineer, Salesforce

• 5+ years of experience working in data architecture, data modeling, master data management, metadata management
• Recent accomplishments working with relational methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
• A consistent track record in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments
• Airflow or any workflow management platform for data engineering pipelines orchestration
• Proficiency in coding through the use of with Python and SQL
• Familiar with data governance frameworks, SDLC, and Agile methodology
• Excellent written and verbal communication and interpersonal skills, and ability to efficiently collaborate with technical and business partners
• Bachelor's degree in Computer Science, Engineering or a related field, equivalent training, fellowship, or work experience

Desirable

• Slack is looking for Data Engineers to join our Admin and Trust team
• We build data products that empower our large enterprise customers with metrics critical to their workflows
• In this role, you will partner cross-functionally with business stakeholders, analytics teams, and engineers to design and implement our data models
• You’ll design, build, and scale data pipelines that transform billions of records into actionable insights for our largest customers
• You’ll also work closely with backend engineers to build state-of-the-art tooling for Slack Admins
• You will contribute to initiatives that directly support key decision-makers within our enterprise customer base by scaling data models that provide essential adoption and engagement metrics
• We're looking for passionate individuals with strong technical skills who are comfortable contributing to a growing data ecosystem and can help build a solid data foundation for the company
• We’re also looking for self-starters—detail-oriented, quality-driven, and hardworking—who are excited about making a meaningful impact at Slack!
• Translate business requirements into scalable and reusable data models that are easy to understand and used by different subject areas
• Design, implement and build data models and pipelines that deliver data with measurable quality under the SLA
• Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy
• Be a champion of the overall strategy for data across multiple teams and different use cases
• Increase access to foundational company metrics through process and technical foundations
• Identify, document and promote data engineering standard methodologies throughout Slack

• End Date: September 26, 2025