Senior Data Engineer, Enterprise Platforms

Slack; Seattle (WA); On-site; USD 173,000 - 260,000; Full time

Job summary

Slack’s Enterprise Data Engineering team is seeking a Data Engineer to design, build, and scale batch and real-time pipelines. You will partner with stakeholders and backend engineers to deliver trusted datasets powering adoption, engagement, and the health metrics across Slack deployments.

You’ll contribute to GovSlack initiatives, enabling feature parity for U.S. government agencies and regulated organizations, while shaping a rock-solid data foundation at one of the world’s most widely used

Qualifications

• 5+ years of experience in data architecture, data modeling, master data management, or metadata management.
• Strong proficiency in Python and SQL.
• Hands-on experience with Airflow or a comparable workflow orchestration platform for data pipeline management.
• Relational modeling approaches including star schema, snowflake, and dimensional modeling.
• Experience optimizing schemas, tuning SQL, and scaling ETL pipelines in OLAP and data warehouse environments.

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

Skills

Data architecture

Data modeling

Master data management

Metadata management

SQL

Python

Tools

Airflow

Spark SQL

AWS

NoSQL

Job description

Slack’s Enterprise Data Engineering team is seeking a Data Engineer to design, build, and scale batch and real-time pipelines. You will partner with stakeholders and backend engineers to deliver trusted datasets powering adoption, engagement, and the health metrics across Slack deployments.

You’ll contribute to GovSlack initiatives, enabling feature parity for U.S. government agencies and regulated organizations, while shaping a rock-solid data foundation at one of the world’s most widely used