Sr. Data Engineer

Job Overview Senior Data Engineer responsible for building and maintaining large‑scale Snowflake data pipelines, leading client implementations, and evolving data architecture for event‑driven and AI‑powered workflows at Kobie. How You Will Make an Impact Serve as the operational backbone of Kobie’s data platform, ensuring reliable, scalable ETL/ELT pipelines and dimensional models that power client reporting and dashboards. Translate client loyalty program requirements into production‑ready data warehouse structures across the KALC platform. Diagnose and resolve pipeline failures quickly to minimize stakeholder impact. Redesign the data mart to support an incoming event‑driven, domain‑driven application layer without breaking the operational foundation. Build infrastructure that enables AI‑powered loyalty products, providing a reliable, well‑governed platform for the innovation team. Improve pipeline trustworthiness through automated testing, audit logging, CI/CD discipline, and clear documentation. Requirements 6+ years of Data Engineering experience designing and operating production‑grade data pipelines. 3+ years of hands‑on Snowflake experience, including 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 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 stakeholders. Preferred Prior experience in a terabyte‑scale, multi‑client data warehouse environment. Experience with Qlik Replicate. Familiarity with Apache NiFi or comparable data flow orchestration tools. Exposure to AI workflow integration within a data warehousing context, or experience building pipelines that serve downstream machine‑learning use cases. Benefits Flexible time off and nine company‑wide holidays. A comprehensive benefits suite prioritizing growth, development, and personal well‑being. Remote‑friendly environment with freedom to work from anywhere. Equal Opportunity Employment Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. Kobie is committed to fostering a workplace where teammates can bring their authentic selves to work every day. #J-18808-Ljbffr Kobie