Base Salary
$197k - $345k/yr
Responsibilities
- Set the architecture and roadmap for the metrics platform across ingestion, canonical datasets, semantic layers, and serving.
- Design and scale data models and pipelines processing billions of records with measurable quality, predictable SLAs, freshness signals, and cost efficiency.
- Build APIs and tools that help people and AI agents navigate metric definitions, lineage, ownership, and accurate query generation.
- Lead metric certification, governance, and technical design reviews across multiple teams.
- Mentor senior engineers and lead complex, multi-team technical initiatives without formal authority.
Requirements
- 10+ years of software or data engineering experience, including 6+ years of hands-on data architecture, data modeling, and metadata management experience.
- Related technical degree required.
- Deep SQL expertise, strong Python skills, and working proficiency in Go, Java, or Scala.
- Experience architecting scalable, cost-efficient data models and pipelines.
- Hands-on experience with Spark, Trino, Airflow, Iceberg, Snowflake, and dimensional or star/snowflake modeling.
- Experience leading complex, multi-team technical initiatives as an individual contributor and aligning Engineering, Product, Data Science, and Analytics.
- Preferred experience with AI-agent infrastructure such as Model Context Protocol servers, tool-use APIs, or evaluation harnesses.
- Preferred experience with semantic layers, metrics platforms, data catalogs, or lineage tools such as dbt, sqlmesh, DataHub, Cube, or LookML.
- Preferred experience with experimentation platforms, including metrics, exposure logging, and guardrails for A/B testing.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- Certain roles may be eligible for incentive compensation, equity, and benefits; the stated salary range excludes bonus, equity, and benefits.
Tech Stack
Categories
About Slack
Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ. Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Come do the best work of your life here at Slack.