Senior Data Engineer - Build Trusted Data Foundations

Slack Enterprise; Northern (KY); Hybrid; USD 173,000 - 260,000; Full time

Job summary

Salesforce's Slack Metrics Foundations team is seeking a Senior Data Engineer to build trusted data foundations powering decision-making across Slack. You will design and scale data models, pipelines, and metrics, ensuring data quality, governance, and reliability at scale.

You will partner with Product, Data Science, Analytics, and Engineering to translate complex business problems into scalable data solutions, mentor engineers, and drive data strategy across multiple domains in a fast-paced

Qualifications

• 8+ years of software/data engineering experience.
• 5+ years in data architecture, data modeling, and metadata management.
• Proficient in SQL and scalable data pipelines.

Responsibilities

• Partner with Product, Analytics, Data Science, and Engineering to build scalable data models and metrics.
• Design, build, and scale data pipelines transforming multi-source data into trusted datasets.
• Own end-to-end lifecycle of metrics and data products from exploration to production and maintenance.
• Mentor engineers and promote data engineering best practices across Slack.

Skills

SQL

Python

Java

Data Modeling

SDLC

Agile

Data Governance

Education

Bachelor's degree in CS/Engineering or related field

Tools

Snowflake

Spark

Airflow

Hive

Job description

Salesforce's Slack Metrics Foundations team is seeking a Senior Data Engineer to build trusted data foundations powering decision-making across Slack. You will design and scale data models, pipelines, and metrics, ensuring data quality, governance, and reliability at scale.

You will partner with Product, Data Science, Analytics, and Engineering to translate complex business problems into scalable data solutions, mentor engineers, and drive data strategy across multiple domains in a fast-paced