Senior Data Engineer: Data Foundations & AI Pipelines

Relha LLC; Atlanta, Northern (GA, KY); Hybrid; USD 173,000 - 260,000; Full time

Job summary

Salesforce is seeking a Senior Data Engineer to build trusted data foundations powering decision-making across teams. You will champion data quality, governance, and reliability while designing and scaling data models, pipelines, and metric systems.

You'll work cross-functionally with Product, Analytics, Data Science, and Engineering teams to translate complex problems into scalable data solutions, own end-to-end data products, and mentor engineers while leveraging Snowflake, Spark, Airflow, and

Qualifications

• 8+ years of overall software engineering or data engineering experience.
• 5+ years of hands-on experience with data architecture, data modeling, data management, and metadata management.
• Strong autonomy and ability to own ambiguous problems end-to-end.
• Proficient in SQL and designing scalable data pipelines.

Responsibilities

• Partner with Product and business stakeholders to translate questions into scalable data models and metrics.
• Design, build, and scale data models and pipelines integrating data from multiple sources.
• Own end-to-end lifecycle of data products from prototyping to production and maintenance.
• Lead data governance and drive standardized company metrics and SLAs.

Skills

SQL

Data modeling

Data architecture

Data governance

Python

Java

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Snowflake

Spark

Airflow

Hive

Job description

Salesforce is seeking a Senior Data Engineer to build trusted data foundations powering decision-making across teams. You will champion data quality, governance, and reliability while designing and scaling data models, pipelines, and metric systems.

You'll work cross-functionally with Product, Analytics, Data Science, and Engineering teams to translate complex problems into scalable data solutions, own end-to-end data products, and mentor engineers while leveraging Snowflake, Spark, Airflow, and