Sr. Data Engineer

Kobie Marketing•St. Louis, MO

16d•Remote

About The Position

Kobie is seeking a Senior Data Engineer to join their Data Engineering team. This role will be a key technical contributor and operational owner, focusing on building and maintaining the data foundation for real-time dashboards, client-facing reporting, and AI-driven products. The ideal candidate will have deep Snowflake expertise and strong engineering instincts to manage production data pipelines, lead client implementations, and evolve the data architecture for event-driven and AI-powered workflows within a large-scale Snowflake environment.

Requirements

6+ years of Data Engineering experience designing and operating production grade data pipelines.
3+ years of hands-on Snowflake experience as a primary data warehousing solution, with deep fluency across data sharing, data clean rooms, marketplace, and Snowpark.
Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting.
Demonstrated CI/CD experience using GitHub and GitHub Actions
Experience with data replication tools (Kafka, GoldenGate, HVR, Qlik Replicate or similar)
Deep understanding of Kimball dimensional modeling: star schemas, slowly changing dimensions, snapshot and transaction fact tables.
Experience integrating a wide range of data sources, including APIs, messaging systems, and streaming platforms.
Solid grounding in OLTP, Data Vault, and data warehouse architecture patterns, with the ability to assess source systems and translate business requirements into dimensional models.
Experience designing event-driven architectures and understanding how they shape data pipeline design.
Familiarity with domain-driven design concepts and how application architecture changes flow downstream into the warehouse.
Cloud experience with Azure and/or AWS.
Comfort working independently across concurrent projects in an Agile environment, with strong communication to non-technical data stakeholders.

Nice To Haves

Prior experience in a terabyte-scale, multi-client data warehouse environment.
Experience with data replication tool Qlik Replicate, preferred
Familiarity with Apache NiFi or comparable data flow orchestration tools, preferred
Exposure to AI workflow integration within a data warehousing context, or experience building pipelines that serve downstream machine learning use cases.

Responsibilities

Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day.
Translate client loyalty program requirements into production-ready data warehouse structures — from source system analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables and extracts that downstream reporting and client services teams depend on.
Diagnose and resolve data pipeline failures quickly to minimize client and internal stakeholder impact.
Build a data architecture that can absorb change by redesigning Kobie's data mart to support an incoming event-driven, domain-driven application layer without breaking the operational foundation already in production.
Deliver the data infrastructure that makes AI-powered loyalty products possible by building a reliable, well-governed platform.
Enhance pipeline trustworthiness through automated testing, audit logging, CI/CD discipline, and documentation.