Sr. Data Engineer

Role Overview

As a Senior Data Engineer, you’ll be a key technical contributor and operational owner of Kobie’s data engineering function. You’ll leverage deep Snowflake expertise to run production pipelines, lead client implementations, and evolve Kobie’s data architecture for event-driven and AI-powered workflows.

Responsibilities

• Operate Kobie’s data platform backbone to ensure ETL/ELT pipelines, dimensional models, and Snowflake environments run reliably and at scale.
• Convert client loyalty program requirements into production-ready data warehouse structures (source analysis → dimensional modeling → Kobie platform tables and extracts).
• Diagnose and resolve data pipeline failures quickly to minimize client/internal impact and prevent recurrence.
• Redesign/advance the data architecture to support an incoming event-driven, domain-driven application layer without breaking existing production foundations.
• Enable AI-powered loyalty products by building a reliable, well-governed platform (governance, testing, and automation—beyond just building data models).
• Improve pipeline trustworthiness via automated testing, audit logging, CI/CD discipline, and strong documentation.

Requirements

• 6+ years of experience designing and operating production-grade data pipelines.
• 3+ years hands-on Snowflake experience as a primary data warehousing solution, including deep knowledge of:
  • Data sharing
  • Data clean rooms
  • Marketplace
  • Snowpark
• Strong proficiency in SQL, Python, and JavaScript for transformations, pipeline development, and automation.
• Proven CI/CD experience using GitHub and GitHub Actions.
• Experience with data replication tools such as Kafka, GoldenGate, HVR, Qlik Replicate, or similar.
• Deep understanding of Kimball dimensional modeling (e.g., star schemas, slowly c

Nice-to-Haves

• Not specified in the provided text.